wehub-resource-sync
2476 lines
88 KiB
Plaintext
2476 lines
88 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "L3jJhdKW5Oeo"
|
||
},
|
||
"source": [
|
||
"# **If you are using Colab for free, we highly recommend you active the T4 GPU hardware accelerator. Our models are designed to run with at least 16GB of RAM, activating T4 will grant the notebook 16GB of GDDR6 RAM as opposed to the 13GB Colab gives automatically.**\n",
|
||
"# **To active T4:**\n",
|
||
"# **1. click on the \"Runtime\" tab**\n",
|
||
"# **2. click on \"Change runtime type\"**\n",
|
||
"# **3. select T4 GPU under Hardware Accelerator**\n",
|
||
"# **NOTE: there is a weekly usage limit on using T4 for free**\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "lxFs5ZL5O2jZ",
|
||
"outputId": "ee864ee3-5de8-4bf7-8327-935258471852"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Collecting llmware\n",
|
||
" Downloading llmware-0.3.0-py3-none-any.whl (56.0 MB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.0/56.0 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hCollecting boto3>=1.24.53 (from llmware)\n",
|
||
" Downloading boto3-1.34.120-py3-none-any.whl (139 kB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m139.3/139.3 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hRequirement already satisfied: huggingface-hub>=0.19.4 in /usr/local/lib/python3.10/dist-packages (from llmware) (0.23.2)\n",
|
||
"Requirement already satisfied: numpy>=1.23.2 in /usr/local/lib/python3.10/dist-packages (from llmware) (1.25.2)\n",
|
||
"Collecting pymongo>=4.7.0 (from llmware)\n",
|
||
" Downloading pymongo-4.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (669 kB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m669.1/669.1 kB\u001b[0m \u001b[31m17.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hRequirement already satisfied: tokenizers>=0.15.0 in /usr/local/lib/python3.10/dist-packages (from llmware) (0.19.1)\n",
|
||
"Collecting psycopg-binary==3.1.17 (from llmware)\n",
|
||
" Downloading psycopg_binary-3.1.17-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m22.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hCollecting psycopg==3.1.17 (from llmware)\n",
|
||
" Downloading psycopg-3.1.17-py3-none-any.whl (178 kB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m178.0/178.0 kB\u001b[0m \u001b[31m12.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hCollecting pgvector==0.2.4 (from llmware)\n",
|
||
" Downloading pgvector-0.2.4-py2.py3-none-any.whl (9.6 kB)\n",
|
||
"Collecting colorama==0.4.6 (from llmware)\n",
|
||
" Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n",
|
||
"Requirement already satisfied: librosa>=0.10.0 in /usr/local/lib/python3.10/dist-packages (from llmware) (0.10.2.post1)\n",
|
||
"Requirement already satisfied: typing-extensions>=4.1 in /usr/local/lib/python3.10/dist-packages (from psycopg==3.1.17->llmware) (4.12.1)\n",
|
||
"Collecting botocore<1.35.0,>=1.34.120 (from boto3>=1.24.53->llmware)\n",
|
||
" Downloading botocore-1.34.120-py3-none-any.whl (12.3 MB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.3/12.3 MB\u001b[0m \u001b[31m49.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hCollecting jmespath<2.0.0,>=0.7.1 (from boto3>=1.24.53->llmware)\n",
|
||
" Downloading jmespath-1.0.1-py3-none-any.whl (20 kB)\n",
|
||
"Collecting s3transfer<0.11.0,>=0.10.0 (from boto3>=1.24.53->llmware)\n",
|
||
" Downloading s3transfer-0.10.1-py3-none-any.whl (82 kB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m82.2/82.2 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (3.14.0)\n",
|
||
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (2023.6.0)\n",
|
||
"Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (24.0)\n",
|
||
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (6.0.1)\n",
|
||
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (2.31.0)\n",
|
||
"Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.19.4->llmware) (4.66.4)\n",
|
||
"Requirement already satisfied: audioread>=2.1.9 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (3.0.1)\n",
|
||
"Requirement already satisfied: scipy>=1.2.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (1.11.4)\n",
|
||
"Requirement already satisfied: scikit-learn>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (1.2.2)\n",
|
||
"Requirement already satisfied: joblib>=0.14 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (1.4.2)\n",
|
||
"Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (4.4.2)\n",
|
||
"Requirement already satisfied: numba>=0.51.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (0.58.1)\n",
|
||
"Requirement already satisfied: soundfile>=0.12.1 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (0.12.1)\n",
|
||
"Requirement already satisfied: pooch>=1.1 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (1.8.1)\n",
|
||
"Requirement already satisfied: soxr>=0.3.2 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (0.3.7)\n",
|
||
"Requirement already satisfied: lazy-loader>=0.1 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (0.4)\n",
|
||
"Requirement already satisfied: msgpack>=1.0 in /usr/local/lib/python3.10/dist-packages (from librosa>=0.10.0->llmware) (1.0.8)\n",
|
||
"Collecting dnspython<3.0.0,>=1.16.0 (from pymongo>=4.7.0->llmware)\n",
|
||
" Downloading dnspython-2.6.1-py3-none-any.whl (307 kB)\n",
|
||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m22.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||
"\u001b[?25hRequirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/local/lib/python3.10/dist-packages (from botocore<1.35.0,>=1.34.120->boto3>=1.24.53->llmware) (2.8.2)\n",
|
||
"Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /usr/local/lib/python3.10/dist-packages (from botocore<1.35.0,>=1.34.120->boto3>=1.24.53->llmware) (2.0.7)\n",
|
||
"Requirement already satisfied: llvmlite<0.42,>=0.41.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.51.0->librosa>=0.10.0->llmware) (0.41.1)\n",
|
||
"Requirement already satisfied: platformdirs>=2.5.0 in /usr/local/lib/python3.10/dist-packages (from pooch>=1.1->librosa>=0.10.0->llmware) (4.2.2)\n",
|
||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.4->llmware) (3.3.2)\n",
|
||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.4->llmware) (3.7)\n",
|
||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.4->llmware) (2024.6.2)\n",
|
||
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.20.0->librosa>=0.10.0->llmware) (3.5.0)\n",
|
||
"Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.10/dist-packages (from soundfile>=0.12.1->librosa>=0.10.0->llmware) (1.16.0)\n",
|
||
"Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0->soundfile>=0.12.1->librosa>=0.10.0->llmware) (2.22)\n",
|
||
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.35.0,>=1.34.120->boto3>=1.24.53->llmware) (1.16.0)\n",
|
||
"Installing collected packages: psycopg-binary, psycopg, pgvector, jmespath, dnspython, colorama, pymongo, botocore, s3transfer, boto3, llmware\n",
|
||
"Successfully installed boto3-1.34.120 botocore-1.34.120 colorama-0.4.6 dnspython-2.6.1 jmespath-1.0.1 llmware-0.3.0 pgvector-0.2.4 psycopg-3.1.17 psycopg-binary-3.1.17 pymongo-4.7.3 s3transfer-0.10.1\n",
|
||
"Collecting wikipedia-api\n",
|
||
" Downloading Wikipedia_API-0.6.0-py3-none-any.whl (14 kB)\n",
|
||
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from wikipedia-api) (2.31.0)\n",
|
||
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->wikipedia-api) (3.3.2)\n",
|
||
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->wikipedia-api) (3.7)\n",
|
||
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->wikipedia-api) (2.0.7)\n",
|
||
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->wikipedia-api) (2024.6.2)\n",
|
||
"Installing collected packages: wikipedia-api\n",
|
||
"Successfully installed wikipedia-api-0.6.0\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"!pip install llmware\n",
|
||
"!pip install wikipedia-api"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"id": "-kgUJQnhO9wY"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"from llmware.agents import LLMfx\n",
|
||
"from llmware.parsers import WikiParser"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"id": "PA4O0nmHPGm0"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"text = (\"The new Miko Marks album is one of the best I have ever heard in a number of years. \"\n",
|
||
" \"She is definitely an artist worth exploring further.\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/",
|
||
"height": 611,
|
||
"referenced_widgets": [
|
||
"b5ba93edf3694b91b6c022357bc63c5f",
|
||
"3ad08a5184024a61867f53cd60967b8a",
|
||
"4610da9b45a14e37a5d22437b6c80af1",
|
||
"da05759d64dd4fde96f2571ab57c10d7",
|
||
"a3b4c3736ec44e05b0408a77328afc46",
|
||
"2f422e29743147d589f78e88a5023584",
|
||
"04a584f3e21e437392ea4e1f2e454256",
|
||
"7e3bc21eddef4a3e9711034215666fc1",
|
||
"e78047ec9ef14fe0b33d559b7d1a98c1",
|
||
"7a3edae3026743adaa4dfc750652e612",
|
||
"a285f26081e54e5485d6ba816dccab04",
|
||
"3d75de815f1d4b0ba7f45ba62bd0fee0",
|
||
"98fd25c941ed4cc48b64265f9b02e21d",
|
||
"0b4e656fbf75456087a719a1f5cfe7f9",
|
||
"912f9795761d477b80183838f87798c3",
|
||
"d62e6155e43143d384c97fa637800900",
|
||
"27e955a826c44c4f888f94fd8d214342",
|
||
"d84ecb5ba26d42fca5c0a71f3557ec77",
|
||
"11f553b8d131488e918823421766447f",
|
||
"af317516d22447efb596af73d29ed7f3",
|
||
"1b767e77b41b4b2a95cea950a91140e9",
|
||
"1aae4ab030be4d19bab991a878e260ae",
|
||
"38399b2088e54e29b6fe46d61cfe375e",
|
||
"2dd4eae5448c4c0f8c4210941b32fe02",
|
||
"c51a57f4bf0645efbfb294f9c2560a58",
|
||
"f7af4381065f44f08497189171e5fa32",
|
||
"93ea85bd3d5f4a559c10411360aeb9f0",
|
||
"4e1dcfb6582741febec7ad363e39cec1",
|
||
"2cf7635b38d5497eb537461c45fc172e",
|
||
"019e216bc5474a5ba5e4bc7028b83f8f",
|
||
"38ee479136694284ba995e82fe9c2c97",
|
||
"0227bbda2303417282d010d7df429eb4",
|
||
"2775aacd793e4d26bb4ebb4570aa79cd",
|
||
"a7a23c114b8e4275bfd18872e8347cc7",
|
||
"7ce0ea72f4614748aa436eb323388ca7",
|
||
"44917c6036de44fcb5ca9bc468964caf",
|
||
"de6808042e2c49f991a66ee27bb66b05",
|
||
"c36923294558418cab03cb76147602fd",
|
||
"206fd63bc81c40648b38e2f716275c95",
|
||
"0e8834fb34e34e189a80265a23b04a0a",
|
||
"722725fd61d54b70b7124d46988ff309",
|
||
"a1ebc53841d14cd1a2fb40e7b2a28f28",
|
||
"179c1a00853d45859b1200c7385deadd",
|
||
"3a0d0a8cf1b24aeb95ef6b3df3a67bad",
|
||
"cb53876e1e9941c1be09b31acc33022c",
|
||
"e559393bb20441ac99f79e7b665e6466",
|
||
"0784e58f828141d38104fb7c8b6d37fa",
|
||
"3941ca3615e349f9abc379840d7ad5d7",
|
||
"66fa1a4bfe684b3296e9733209a3e755",
|
||
"1f26676cf8a0472d82edf15e1605fd07",
|
||
"90bccb0588ac4dbfb1c6ebff10663214",
|
||
"a9075f2798d94525861de0c205b67ad0",
|
||
"edf56f8ea6044bf7a4c782e767216299",
|
||
"40ae101d8d824a4d9a45cc7eb2f4d23d",
|
||
"666ecaec0c19436eba7ffb801316707a",
|
||
"c5e77bad53e64c398568b55814c805b0",
|
||
"87f4f58671ad419c998dce7641f63ae7",
|
||
"7b3eb01c9d0e4e51b12ec860020a5c9c",
|
||
"d52782db557244b6a1a0987cbe11afbe",
|
||
"9417ecffee87490b98a0515b9c90152f",
|
||
"4de8ad290b3f4ad88ae9dd82bd2db17b",
|
||
"6f81e12919f74ecfa091f0a70920ea1b",
|
||
"5ea39357b9ca4d439469d4b0fdb7dc06",
|
||
"693871dab6e84a78a709fa5f64a62631",
|
||
"3f10128eefff4dbc91af23ca3b644fb8",
|
||
"737f4afd766d44b192db1cb921504334"
|
||
]
|
||
},
|
||
"id": "Ue0d-BL8PmpT",
|
||
"outputId": "3f4803eb-9371-4905-d6ac-ad69affae2c8"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"update: Launching LLMfx process\n",
|
||
"step - \t1 - \tcreating object - ready to start processing.\n",
|
||
"step - \t2 - \tloading new processing text - 1 new entries\n",
|
||
"step - \t3 - \tloading tool - ner\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
|
||
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
|
||
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
|
||
"You will be able to reuse this secret in all of your notebooks.\n",
|
||
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
|
||
" warnings.warn(\n",
|
||
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1194: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\n",
|
||
"For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\n",
|
||
" warnings.warn(\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "b5ba93edf3694b91b6c022357bc63c5f",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Fetching 4 files: 0%| | 0/4 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "3d75de815f1d4b0ba7f45ba62bd0fee0",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
".gitattributes: 0%| | 0.00/1.57k [00:00<?, ?B/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "38399b2088e54e29b6fe46d61cfe375e",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"README.md: 0%| | 0.00/1.68k [00:00<?, ?B/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "a7a23c114b8e4275bfd18872e8347cc7",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"config.json: 0%| | 0.00/15.9k [00:00<?, ?B/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "cb53876e1e9941c1be09b31acc33022c",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"slim-ner.gguf: 0%| | 0.00/669M [00:00<?, ?B/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"step - \t4 - \texecuting function call - deploying - ner \n",
|
||
"step - \t5 - \texecuting function call - getting response - ner\n",
|
||
"\t\t\t\t -- llm_response - {'people': ['Miko Marks'], 'place': [], 'company': [], 'misc': []}\n",
|
||
"\t\t\t\t -- output type - dict\n",
|
||
"\t\t\t\t -- usage - {'input': 57, 'output': 23, 'total': 80, 'metric': 'tokens', 'processing_time': 1.0103073120117188, 'type': 'dict'}\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "c5e77bad53e64c398568b55814c805b0",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"tokenizer_tl.json: 0%| | 0.00/1.84M [00:00<?, ?B/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"step - \t6 - \tanalyzing response - ner\n",
|
||
"\t\t\t\t -- confidence score - 0.983\n",
|
||
"\t\t\t\t -- analyzing response - \u001b[32mpeople\u001b[32m':\u001b[32m ['\u001b[32mM\u001b[32miko\u001b[32m Mark\u001b[32ms\u001b[32m'],\u001b[32m '\u001b[32mplace\u001b[32m':\u001b[32m [],\u001b[32m '\u001b[32mcompany\u001b[32m':\u001b[32m [],\u001b[32m '\u001b[32mm\u001b[32misc\u001b[32m':\u001b[32m []\u001b[32m}\u001b[39m\n",
|
||
"\t\t\t\t -- analyzing response - {'choice_1': ['M', 0.983, 29924], 'choice_2': ['Mark', 0.011, 9802], 'choice_3': ['Mich', 0.001, 14916]}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"agent = LLMfx()\n",
|
||
"agent.load_work(text)\n",
|
||
"agent.load_tool(\"ner\")\n",
|
||
"named_entities = agent.ner()\n",
|
||
"ner_dict = named_entities[\"llm_response\"]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"id": "Nhg1R4t8PzcK"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"lookup = []\n",
|
||
"for keys, value in ner_dict.items():\n",
|
||
" if value:\n",
|
||
" lookup.append(value)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "tuVNJ8TxTZ7k",
|
||
"outputId": "6c7f621a-d387-4867-dda8-4592265e7fef"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"update: wiki_info - {'search_results': [{'num': 0, 'title': 'Miko Marks', 'pageid': 26862700}], 'articles': [{'title': 'Miko Marks', 'summary': 'Miko Marks is an American Americana singer based in Oakland, California. She was born in Flint, Michigan. She attended from 1990 to 1994 Grambling State University in Louisiana where she got her degree in Political Science. She later moved to San Francisco. Marks was named Best New Country Artist at the 2006 New Music Weekly Awards.', 'text': 'Miko Marks is an American Americana singer based in Oakland, California. She was born in Flint, Michigan. She attended from 1990 to 1994 Grambling State University in Louisiana where she got her degree in Political Science. She later moved to San Francisco. Marks was named Best New Country Artist at the 2006 New Music Weekly Awards.\\n\\nCareer\\nMarks released her debut single, \"Freeway Bound,\" in 2005. It was followed by her debut album, also titled Freeway Bound, which was released on September 13, 2005. Three further singles (\"Kickin\\' Back,\" \"Mama,\" and \"Don\\'t Come Cryin\\' to Me\") were released from the album in 2006. \"Mama\" featured Marks\\' first music video, which included a guest appearance by Erykah Badu assuming the title role. Her second studio album, It Feels Good, followed in 2007 after the release of lead-off single \"Locked and Loaded.\" Both were produced by Ron Cornelius and released under the Mirrome Records imprint.\\nIn his review of It Feels Good, Stewart Mason of allmusic awarded the album 3 and 1/2 stars, drawing comparisons to the Dixie Chicks and Gretchen Wilson while commenting that the album \"clicks on every level, making it a solidly enjoyable neo-traditionalist country listen.\"\\nIn 2021, Marks released “Our Country,” her first new album in over a decade. The album\\'s lead single and music video are \"We Are Here\".\\nIn October 2022, Marks performed on the Grand Ole Opry for the first time. According to CMT, her performance received two standing ovations.\\nIn October of 2023, Marks collaborated with the Fisk Jubilee Singers for an updated version of her song \"Jubilee\"\\n\\nFamily\\nShe married young and had a son, Justin. Her husband works as local firefighter.\\n\\nDiscography\\nStudio albums\\nExtended Plays\\nSingles\\nMusic videos\\nAwards and nominations\\nReferences\\nExternal links\\nOfficial Site\\nInstagram\\nSpotify', 'topic': ['Miko Marks']}], 'text_chunks': ['Miko Marks is an American Americana singer based in Oakland, California. She was born in Flint, Michigan. She attended from 1990 to 1994 Grambling State University in Louisiana where she got her degree in Political Science. She later moved to San Francisco. Marks was named Best New Country Artist at the 2006 New Music Weekly Awards.\\n', '\\nCareer\\nMarks released her debut single, \"Freeway Bound,\" in 2005. It was followed by her debut album, also titled Freeway Bound, which was released on September 13, 2005. Three further singles (\"Kickin\\' Back,\" \"Mama,\" and \"Don\\'t Come Cryin\\' to Me\") were released from the album in 2006. \"Mama\" featured Marks\\' first music video, which included a guest appearance by Erykah Badu assuming the title role.', ' Her second studio album, It Feels Good, followed in 2007 after the release of lead-off single \"Locked and Loaded.\" Both were produced by Ron Cornelius and released under the Mirrome Records imprint.\\nIn his review of It Feels Good, Stewart Mason of allmusic awarded the album 3 and 1/2 stars, drawing comparisons to the Dixie Chicks and Gretchen Wilson while commenting that the album \"clicks on every level, making it a solidly enjoyable neo-traditionalist country listen.\"\\nIn 2021, Marks released “Our Country,” her first new album in over a decade.', ' The album\\'s lead single and music video are \"We Are Here\".\\nIn October 2022, Marks performed on the Grand Ole Opry for the first time. According to CMT, her performance received two standing ovations.\\nIn October of 2023, Marks collaborated with the Fisk Jubilee Singers for an updated version of her song \"Jubilee\"\\n\\nFamily\\nShe married young and had a son, Justin. Her husband works as local firefighter.\\n\\nDiscography\\nStudio albums\\nExtended Plays\\nSingles\\nMusic videos\\nAwards and nominations\\nReferences\\nExternal links\\nOfficial Site\\nInstagram\\nSpotify'], 'blocks': [{'file_source': 'Miko Marks', 'page_num': 1, 'text': 'Miko Marks is an American Americana singer based in Oakland, California. She was born in Flint, Michigan. She attended from 1990 to 1994 Grambling State University in Louisiana where she got her degree in Political Science. She later moved to San Francisco. Marks was named Best New Country Artist at the 2006 New Music Weekly Awards.\\n'}, {'file_source': 'Miko Marks', 'page_num': 1, 'text': '\\nCareer\\nMarks released her debut single, \"Freeway Bound,\" in 2005. It was followed by her debut album, also titled Freeway Bound, which was released on September 13, 2005. Three further singles (\"Kickin\\' Back,\" \"Mama,\" and \"Don\\'t Come Cryin\\' to Me\") were released from the album in 2006. \"Mama\" featured Marks\\' first music video, which included a guest appearance by Erykah Badu assuming the title role.'}, {'file_source': 'Miko Marks', 'page_num': 1, 'text': ' Her second studio album, It Feels Good, followed in 2007 after the release of lead-off single \"Locked and Loaded.\" Both were produced by Ron Cornelius and released under the Mirrome Records imprint.\\nIn his review of It Feels Good, Stewart Mason of allmusic awarded the album 3 and 1/2 stars, drawing comparisons to the Dixie Chicks and Gretchen Wilson while commenting that the album \"clicks on every level, making it a solidly enjoyable neo-traditionalist country listen.\"\\nIn 2021, Marks released “Our Country,” her first new album in over a decade.'}, {'file_source': 'Miko Marks', 'page_num': 1, 'text': ' The album\\'s lead single and music video are \"We Are Here\".\\nIn October 2022, Marks performed on the Grand Ole Opry for the first time. According to CMT, her performance received two standing ovations.\\nIn October of 2023, Marks collaborated with the Fisk Jubilee Singers for an updated version of her song \"Jubilee\"\\n\\nFamily\\nShe married young and had a son, Justin. Her husband works as local firefighter.\\n\\nDiscography\\nStudio albums\\nExtended Plays\\nSingles\\nMusic videos\\nAwards and nominations\\nReferences\\nExternal links\\nOfficial Site\\nInstagram\\nSpotify'}]}\n",
|
||
"update: summary - Miko Marks is an American Americana singer based in Oakland, California. She was born in Flint, Michigan. She attended from 1990 to 1994 Grambling State University in Louisiana where she got her degree in Political Science. She later moved to San Francisco. Marks was named Best New Country Artist at the 2006 New Music Weekly Awards.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"for entries in lookup:\n",
|
||
" wiki_info = WikiParser().add_wiki_topic(entries, target_results=1)\n",
|
||
"\n",
|
||
" print(\"update: wiki_info - \", wiki_info)\n",
|
||
" summary = wiki_info[\"articles\"][0][\"summary\"]\n",
|
||
"\n",
|
||
" print(\"update: summary - \", summary)"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"accelerator": "GPU",
|
||
"colab": {
|
||
"gpuType": "T4",
|
||
"provenance": []
|
||
},
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"name": "python"
|
||
},
|
||
"widgets": {
|
||
"application/vnd.jupyter.widget-state+json": {
|
||
"019e216bc5474a5ba5e4bc7028b83f8f": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"0227bbda2303417282d010d7df429eb4": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"04a584f3e21e437392ea4e1f2e454256": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"0784e58f828141d38104fb7c8b6d37fa": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_a9075f2798d94525861de0c205b67ad0",
|
||
"max": 668787680,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_edf56f8ea6044bf7a4c782e767216299",
|
||
"value": 668787680
|
||
}
|
||
},
|
||
"0b4e656fbf75456087a719a1f5cfe7f9": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_11f553b8d131488e918823421766447f",
|
||
"max": 1569,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_af317516d22447efb596af73d29ed7f3",
|
||
"value": 1569
|
||
}
|
||
},
|
||
"0e8834fb34e34e189a80265a23b04a0a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"11f553b8d131488e918823421766447f": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"179c1a00853d45859b1200c7385deadd": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"1aae4ab030be4d19bab991a878e260ae": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"1b767e77b41b4b2a95cea950a91140e9": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"1f26676cf8a0472d82edf15e1605fd07": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"206fd63bc81c40648b38e2f716275c95": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"2775aacd793e4d26bb4ebb4570aa79cd": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"27e955a826c44c4f888f94fd8d214342": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"2cf7635b38d5497eb537461c45fc172e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"2dd4eae5448c4c0f8c4210941b32fe02": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_4e1dcfb6582741febec7ad363e39cec1",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_2cf7635b38d5497eb537461c45fc172e",
|
||
"value": "README.md: 100%"
|
||
}
|
||
},
|
||
"2f422e29743147d589f78e88a5023584": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"38399b2088e54e29b6fe46d61cfe375e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_2dd4eae5448c4c0f8c4210941b32fe02",
|
||
"IPY_MODEL_c51a57f4bf0645efbfb294f9c2560a58",
|
||
"IPY_MODEL_f7af4381065f44f08497189171e5fa32"
|
||
],
|
||
"layout": "IPY_MODEL_93ea85bd3d5f4a559c10411360aeb9f0"
|
||
}
|
||
},
|
||
"38ee479136694284ba995e82fe9c2c97": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"3941ca3615e349f9abc379840d7ad5d7": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_40ae101d8d824a4d9a45cc7eb2f4d23d",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_666ecaec0c19436eba7ffb801316707a",
|
||
"value": " 669M/669M [00:06<00:00, 112MB/s]"
|
||
}
|
||
},
|
||
"3a0d0a8cf1b24aeb95ef6b3df3a67bad": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"3ad08a5184024a61867f53cd60967b8a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_2f422e29743147d589f78e88a5023584",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_04a584f3e21e437392ea4e1f2e454256",
|
||
"value": "Fetching 4 files: 100%"
|
||
}
|
||
},
|
||
"3d75de815f1d4b0ba7f45ba62bd0fee0": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_98fd25c941ed4cc48b64265f9b02e21d",
|
||
"IPY_MODEL_0b4e656fbf75456087a719a1f5cfe7f9",
|
||
"IPY_MODEL_912f9795761d477b80183838f87798c3"
|
||
],
|
||
"layout": "IPY_MODEL_d62e6155e43143d384c97fa637800900"
|
||
}
|
||
},
|
||
"3f10128eefff4dbc91af23ca3b644fb8": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"40ae101d8d824a4d9a45cc7eb2f4d23d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"44917c6036de44fcb5ca9bc468964caf": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_722725fd61d54b70b7124d46988ff309",
|
||
"max": 15856,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_a1ebc53841d14cd1a2fb40e7b2a28f28",
|
||
"value": 15856
|
||
}
|
||
},
|
||
"4610da9b45a14e37a5d22437b6c80af1": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_7e3bc21eddef4a3e9711034215666fc1",
|
||
"max": 4,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_e78047ec9ef14fe0b33d559b7d1a98c1",
|
||
"value": 4
|
||
}
|
||
},
|
||
"4de8ad290b3f4ad88ae9dd82bd2db17b": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"4e1dcfb6582741febec7ad363e39cec1": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"5ea39357b9ca4d439469d4b0fdb7dc06": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"666ecaec0c19436eba7ffb801316707a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"66fa1a4bfe684b3296e9733209a3e755": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"693871dab6e84a78a709fa5f64a62631": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"6f81e12919f74ecfa091f0a70920ea1b": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"722725fd61d54b70b7124d46988ff309": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"737f4afd766d44b192db1cb921504334": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"7a3edae3026743adaa4dfc750652e612": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"7b3eb01c9d0e4e51b12ec860020a5c9c": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_5ea39357b9ca4d439469d4b0fdb7dc06",
|
||
"max": 1842767,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_693871dab6e84a78a709fa5f64a62631",
|
||
"value": 1842767
|
||
}
|
||
},
|
||
"7ce0ea72f4614748aa436eb323388ca7": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_206fd63bc81c40648b38e2f716275c95",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_0e8834fb34e34e189a80265a23b04a0a",
|
||
"value": "config.json: 100%"
|
||
}
|
||
},
|
||
"7e3bc21eddef4a3e9711034215666fc1": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"87f4f58671ad419c998dce7641f63ae7": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_4de8ad290b3f4ad88ae9dd82bd2db17b",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_6f81e12919f74ecfa091f0a70920ea1b",
|
||
"value": "tokenizer_tl.json: 100%"
|
||
}
|
||
},
|
||
"90bccb0588ac4dbfb1c6ebff10663214": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"912f9795761d477b80183838f87798c3": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_1b767e77b41b4b2a95cea950a91140e9",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_1aae4ab030be4d19bab991a878e260ae",
|
||
"value": " 1.57k/1.57k [00:00<00:00, 23.3kB/s]"
|
||
}
|
||
},
|
||
"93ea85bd3d5f4a559c10411360aeb9f0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"9417ecffee87490b98a0515b9c90152f": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"98fd25c941ed4cc48b64265f9b02e21d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_27e955a826c44c4f888f94fd8d214342",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_d84ecb5ba26d42fca5c0a71f3557ec77",
|
||
"value": ".gitattributes: 100%"
|
||
}
|
||
},
|
||
"a1ebc53841d14cd1a2fb40e7b2a28f28": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"a285f26081e54e5485d6ba816dccab04": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"a3b4c3736ec44e05b0408a77328afc46": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"a7a23c114b8e4275bfd18872e8347cc7": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_7ce0ea72f4614748aa436eb323388ca7",
|
||
"IPY_MODEL_44917c6036de44fcb5ca9bc468964caf",
|
||
"IPY_MODEL_de6808042e2c49f991a66ee27bb66b05"
|
||
],
|
||
"layout": "IPY_MODEL_c36923294558418cab03cb76147602fd"
|
||
}
|
||
},
|
||
"a9075f2798d94525861de0c205b67ad0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"af317516d22447efb596af73d29ed7f3": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"b5ba93edf3694b91b6c022357bc63c5f": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_3ad08a5184024a61867f53cd60967b8a",
|
||
"IPY_MODEL_4610da9b45a14e37a5d22437b6c80af1",
|
||
"IPY_MODEL_da05759d64dd4fde96f2571ab57c10d7"
|
||
],
|
||
"layout": "IPY_MODEL_a3b4c3736ec44e05b0408a77328afc46"
|
||
}
|
||
},
|
||
"c36923294558418cab03cb76147602fd": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"c51a57f4bf0645efbfb294f9c2560a58": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "FloatProgressModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "FloatProgressModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "ProgressView",
|
||
"bar_style": "success",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_019e216bc5474a5ba5e4bc7028b83f8f",
|
||
"max": 1680,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_38ee479136694284ba995e82fe9c2c97",
|
||
"value": 1680
|
||
}
|
||
},
|
||
"c5e77bad53e64c398568b55814c805b0": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_87f4f58671ad419c998dce7641f63ae7",
|
||
"IPY_MODEL_7b3eb01c9d0e4e51b12ec860020a5c9c",
|
||
"IPY_MODEL_d52782db557244b6a1a0987cbe11afbe"
|
||
],
|
||
"layout": "IPY_MODEL_9417ecffee87490b98a0515b9c90152f"
|
||
}
|
||
},
|
||
"cb53876e1e9941c1be09b31acc33022c": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HBoxModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HBoxModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HBoxView",
|
||
"box_style": "",
|
||
"children": [
|
||
"IPY_MODEL_e559393bb20441ac99f79e7b665e6466",
|
||
"IPY_MODEL_0784e58f828141d38104fb7c8b6d37fa",
|
||
"IPY_MODEL_3941ca3615e349f9abc379840d7ad5d7"
|
||
],
|
||
"layout": "IPY_MODEL_66fa1a4bfe684b3296e9733209a3e755"
|
||
}
|
||
},
|
||
"d52782db557244b6a1a0987cbe11afbe": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_3f10128eefff4dbc91af23ca3b644fb8",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_737f4afd766d44b192db1cb921504334",
|
||
"value": " 1.84M/1.84M [00:00<00:00, 6.69MB/s]"
|
||
}
|
||
},
|
||
"d62e6155e43143d384c97fa637800900": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"model_module_version": "1.2.0",
|
||
"model_name": "LayoutModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/base",
|
||
"_model_module_version": "1.2.0",
|
||
"_model_name": "LayoutModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "LayoutView",
|
||
"align_content": null,
|
||
"align_items": null,
|
||
"align_self": null,
|
||
"border": null,
|
||
"bottom": null,
|
||
"display": null,
|
||
"flex": null,
|
||
"flex_flow": null,
|
||
"grid_area": null,
|
||
"grid_auto_columns": null,
|
||
"grid_auto_flow": null,
|
||
"grid_auto_rows": null,
|
||
"grid_column": null,
|
||
"grid_gap": null,
|
||
"grid_row": null,
|
||
"grid_template_areas": null,
|
||
"grid_template_columns": null,
|
||
"grid_template_rows": null,
|
||
"height": null,
|
||
"justify_content": null,
|
||
"justify_items": null,
|
||
"left": null,
|
||
"margin": null,
|
||
"max_height": null,
|
||
"max_width": null,
|
||
"min_height": null,
|
||
"min_width": null,
|
||
"object_fit": null,
|
||
"object_position": null,
|
||
"order": null,
|
||
"overflow": null,
|
||
"overflow_x": null,
|
||
"overflow_y": null,
|
||
"padding": null,
|
||
"right": null,
|
||
"top": null,
|
||
"visibility": null,
|
||
"width": null
|
||
}
|
||
},
|
||
"d84ecb5ba26d42fca5c0a71f3557ec77": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "DescriptionStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "DescriptionStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"da05759d64dd4fde96f2571ab57c10d7": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_7a3edae3026743adaa4dfc750652e612",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_a285f26081e54e5485d6ba816dccab04",
|
||
"value": " 4/4 [00:06<00:00, 1.81s/it]"
|
||
}
|
||
},
|
||
"de6808042e2c49f991a66ee27bb66b05": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_179c1a00853d45859b1200c7385deadd",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_3a0d0a8cf1b24aeb95ef6b3df3a67bad",
|
||
"value": " 15.9k/15.9k [00:00<00:00, 219kB/s]"
|
||
}
|
||
},
|
||
"e559393bb20441ac99f79e7b665e6466": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_1f26676cf8a0472d82edf15e1605fd07",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_90bccb0588ac4dbfb1c6ebff10663214",
|
||
"value": "slim-ner.gguf: 100%"
|
||
}
|
||
},
|
||
"e78047ec9ef14fe0b33d559b7d1a98c1": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"edf56f8ea6044bf7a4c782e767216299": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "ProgressStyleModel",
|
||
"state": {
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "ProgressStyleModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/base",
|
||
"_view_module_version": "1.2.0",
|
||
"_view_name": "StyleView",
|
||
"bar_color": null,
|
||
"description_width": ""
|
||
}
|
||
},
|
||
"f7af4381065f44f08497189171e5fa32": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"model_module_version": "1.5.0",
|
||
"model_name": "HTMLModel",
|
||
"state": {
|
||
"_dom_classes": [],
|
||
"_model_module": "@jupyter-widgets/controls",
|
||
"_model_module_version": "1.5.0",
|
||
"_model_name": "HTMLModel",
|
||
"_view_count": null,
|
||
"_view_module": "@jupyter-widgets/controls",
|
||
"_view_module_version": "1.5.0",
|
||
"_view_name": "HTMLView",
|
||
"description": "",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_0227bbda2303417282d010d7df429eb4",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_2775aacd793e4d26bb4ebb4570aa79cd",
|
||
"value": " 1.68k/1.68k [00:00<00:00, 21.3kB/s]"
|
||
}
|
||
},
|
||
"state": {}
|
||
}
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 0
|
||
}
|