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wisard/scheduling-suggestion
scheduling-suggestion is a tabular classification model from wisard. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for generic.
This is a template repository for tabular 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.tx…
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Updated Jul 26, 2022
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From the Hugging Face model README
This is a template repository for tabular classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
requirements.txt file.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
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/tabular-classification
cd structured-data-classification
git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
git push --force