|
--- |
|
tags: |
|
- image-classification |
|
library_name: generic |
|
--- |
|
|
|
# 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 |
|
* https://huggingface.co/osanseviero/fastai_cat_vs_dog/tree/main |
|
|
|
## 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 |
|
``` |