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Xorbits Inference: one-click deployment of multiple AI models, a distributed inference framework

General Introduction

Xorbits Inference (Xinference) is a powerful and comprehensive distributed inference framework that supports inference for a wide range of AI models such as Large Language Models (LLMs), Speech Recognition Models and Multimodal Models. With Xorbits Inference, users can easily deploy their own models with a single click or use the built-in cutting-edge open-source models, whether they are running in the cloud, on a local server or on a personal computer.

 


 

Function List

  • Supports reasoning with multiple AI models, including large language models, speech recognition models, and multimodal models
  • One-click deployment and service modeling to simplify setup of experimental and production environments
  • Supports running in the cloud, on local servers and on PCs
  • Built-in a variety of cutting-edge open-source models for direct user convenience
  • Provide rich documentation and community support

 

 

Using Help

Installation process

  1. environmental preparation: Ensure that Python 3.7 or above is installed.
  2. Installation of Xorbits Inference::
    pip install xorbits-inference
    
  3. Configuration environment: Configure environment variables and dependencies as needed.

 

Usage Process

  1. Loading Models::
    from xinference import InferenceEngine
    engine = InferenceEngine(model_name="gpt-3")
    
  2. running inference::
    result = engine.infer("Hello, world!")
    print(result)
    
  3. Deployment models::
    xinference deploy --model gpt-3 --host 0.0.0.0 --port 8080
    

 

Detailed Function Operation

  1. Model Selection: Users can choose from a wide range of built-in cutting-edge open-source models, such as GPT-3, BERT, etc., or upload their own models for inference.
  2. Parameter Configuration: When deploying a model, you can configure the model's parameters, such as batch size, GPU usage, etc., according to your needs.
  3. Monitoring and Management: Through the management interface provided, users can monitor the model's operation status and performance indicators in real time, facilitating optimization and adjustment.
  4. Community Support: Join Xorbits Inference's Slack community to share experiences and questions with other users and get timely help and support.
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