Feature Extraction repository template
This is a template repository for feature extraction to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
- Specify the requirements by defining a
requirements.txt
file. - Implement the
pipeline.py
__init__
and__call__
methods. These methods are called by the Inference API. The__init__
method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The__call__
method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.
Example repos
How to start
First create a repo in https://hf.co/new. Then clone this template and push it to your repo.
git clone https://huggingface.co/templates/feature-extraction
cd feature-extraction
git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
git push --force
Inference API (serverless) does not yet support generic models for this pipeline type.