Tabular Classification repository template

This is a template repository for tabular classification to support generic inference with Model Database 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://Model Database.co/osanseviero/wine-quality

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://Model Database.co/templates/tabular-classification
cd structured-data-classification
git remote set-url origin https://Model Database.co/$YOUR_USER/$YOUR_REPO_NAME
git push --force