wehub-resource-sync
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
# Copyright (c) ModelScope Contributors. All rights reserved.
|
|
import os
|
|
from openai import OpenAI
|
|
|
|
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
|
|
|
|
|
|
def infer(client, model: str, messages):
|
|
# You can also use client.embeddings.create
|
|
# But this interface does not support multi-modal medias
|
|
resp = client.chat.completions.create(model=model, messages=messages)
|
|
emb = resp.data[0]['embedding']
|
|
shape = len(emb)
|
|
sample = str(emb)
|
|
if len(emb) > 6:
|
|
sample = str(emb[:3])[:-1] + ', ..., ' + str(emb[-3:])[1:]
|
|
print(f'messages: {messages}')
|
|
print(f'Embedding(shape: [1, {shape}]): {sample}')
|
|
return emb
|
|
|
|
|
|
def run_client(host: str = '127.0.0.1', port: int = 8000):
|
|
client = OpenAI(
|
|
api_key='EMPTY',
|
|
base_url=f'http://{host}:{port}/v1',
|
|
)
|
|
model = client.models.list().data[0].id
|
|
print(f'model: {model}')
|
|
|
|
messages = [{
|
|
'role':
|
|
'user',
|
|
'content': [
|
|
# {
|
|
# 'type': 'image',
|
|
# 'image': 'http://modelscope-open.oss-cn-hangzhou.aliyuncs.com/images/animal.png'
|
|
# },
|
|
{
|
|
'type': 'text',
|
|
'text': 'What is the capital of China?'
|
|
},
|
|
]
|
|
}]
|
|
infer(client, model, messages)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
from swift import DeployArguments, run_deploy
|
|
with run_deploy(
|
|
DeployArguments(
|
|
model='Qwen/Qwen3-Embedding-0.6B', # GME/GTE models or your checkpoints are also supported
|
|
task_type='embedding',
|
|
infer_backend='vllm',
|
|
verbose=False,
|
|
log_interval=-1)) as port:
|
|
run_client(port=port)
|