Inference Endpoints’ base image includes all required libraries to run inference on 🤗 Transformers models, but it also supports custom dependencies. This is useful if you want to:
tapas
(torch-scatter
)).To add custom dependencies, add a [requirements.txt](https://huggingface.co/philschmid/distilbert-onnx-banking77/blob/main/requirements.txt)
file with the Python dependencies you want to install in your model repository on the Hugging Face Hub. When your Endpoint and Image artifacts are created, Inference Endpoints checks if the model repository contains a requirements.txt
file and installs the dependencies listed within.
optimum[onnxruntime]==1.2.3 mkl-include mkl
Take a look at the requirements.txt
files in the following model repositories as an example:
For more information, take a look at how you can create and install dependencies when you use your own custom container for inference.