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87 lines
3.6 KiB
Markdown
87 lines
3.6 KiB
Markdown
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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*This model was published in HF papers on 2022-11-09 and contributed to Hugging Face Transformers on 2022-06-09.*
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# BLOOM
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## Overview
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The [BLOOM](https://huggingface.co/papers/2211.05100) model has been proposed with its various versions through the [BigScience Workshop](https://bigscience.huggingface.co/). BigScience is inspired by other open science initiatives where researchers have pooled their time and resources to collectively achieve a higher impact.
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The architecture of BLOOM is essentially similar to GPT3 (auto-regressive model for next token prediction), but has been trained on 46 different languages and 13 programming languages.
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Several smaller versions of the models have been trained on the same dataset. BLOOM is available in the following versions:
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- [bloom-560m](https://huggingface.co/bigscience/bloom-560m)
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- [bloom-1b1](https://huggingface.co/bigscience/bloom-1b1)
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- [bloom-1b7](https://huggingface.co/bigscience/bloom-1b7)
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- [bloom-3b](https://huggingface.co/bigscience/bloom-3b)
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- [bloom-7b1](https://huggingface.co/bigscience/bloom-7b1)
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- [bloom](https://huggingface.co/bigscience/bloom) (176B parameters)
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## Resources
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A list of official Hugging Face and community (indicated by 🌎) resources to help you get started with BLOOM. If you're interested in submitting a resource to be included here, please feel free to open a Pull Request and we'll review it! The resource should ideally demonstrate something new instead of duplicating an existing resource.
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<PipelineTag pipeline="text-generation"/>
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- [`BloomForCausalLM`] is supported by this [causal language modeling example script](https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling#gpt-2gpt-and-causal-language-modeling) and [notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/language_modeling.ipynb).
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See also:
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- [Causal language modeling task guide](../tasks/language_modeling)
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- [Text classification task guide](../tasks/sequence_classification)
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- [Token classification task guide](../tasks/token_classification)
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- [Question answering task guide](../tasks/question_answering)
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⚡️ Inference
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- A blog on [Optimization story: Bloom inference](https://huggingface.co/blog/bloom-inference-optimization).
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- A blog on [Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate](https://huggingface.co/blog/bloom-inference-pytorch-scripts).
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⚙️ Training
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- A blog on [The Technology Behind BLOOM Training](https://huggingface.co/blog/bloom-megatron-deepspeed).
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## BloomConfig
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[[autodoc]] BloomConfig
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- all
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## BloomModel
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[[autodoc]] BloomModel
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- forward
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## BloomForCausalLM
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[[autodoc]] BloomForCausalLM
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- forward
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## BloomForSequenceClassification
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[[autodoc]] BloomForSequenceClassification
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- forward
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## BloomForTokenClassification
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[[autodoc]] BloomForTokenClassification
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- forward
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## BloomForQuestionAnswering
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[[autodoc]] BloomForQuestionAnswering
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- forward
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