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Xinference provides a restful client for managing and accessing models programmatically.
pip install xinference-client
from xinference_client import RESTfulClient as Client
client = Client("http://localhost:9997")
model_uid = client.launch_model(model_name="chatglm2")
model = client.get_model(model_uid)
chat_history = []
prompt = "What is the largest animal?"
model.chat(
prompt,
chat_history=chat_history,
generate_config={"max_tokens": 1024}
)
Result:
{
"id": "chatcmpl-8d76b65a-bad0-42ef-912d-4a0533d90d61",
"model": "56f69622-1e73-11ee-a3bd-9af9f16816c6",
"object": "chat.completion",
"created": 1688919187,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "The largest animal that has been scientifically measured is the blue whale, which has a maximum length of around 23 meters (75 feet) for adult animals and can weigh up to 150,000 pounds (68,000 kg). However, it is important to note that this is just an estimate and that the largest animal known to science may be larger still. Some scientists believe that the largest animals may not have a clear \"size\" in the same way that humans do, as their size can vary depending on the environment and the stage of their life."
},
"finish_reason": "None"
}
],
"usage": {
"prompt_tokens": -1,
"completion_tokens": -1,
"total_tokens": -1
}
}
FAQs
Client for Xinference
We found that xinference-client demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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