Image Classification repository template

This is a template repository for image classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps

  1. Specify the requirements by defining a requirements.txt file.
  2. 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/image-classification
cd image-classification
git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
git push --force
Downloads last month
0
Hosted inference API
Image Classification
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.