How can I effortlessly containerize a Hugging Face model using Docker for seamless deployment

Question

Can you help me with the code on how I can effortlessly containerize a Hugging Face model using Docker for seamless deployment?

Answer 1

To effortlessly containerize a Hugging Face model using Docker,you can refer to the following methods:

• Create a Python script to load and serve the Hugging Face model with FastAPI (or Flask).
• Create a Dockerfile to containerize the application.
• Build and run the Docker container:

Here is the code reference for the following:

• Test the API:
  • Your Hugging Face model is now accessible at http://localhost:8000/generate/.
  • Use a tool like Postman or Curl to send a POST request with the text input.

In the above steps, we are using key features like FastAPI, which serves the model; Dockerfile, which sets up Python dependencies and exposes the API, and Docker Commands to build and run the container.

Hence, this allows for easy deployment of your Hugging Face model using Docker.