Examples of interactions with the Hugging Face Hub

• Creating the Model Card:

  scikit-learn model cards is an example of using skops to create a model card that can be used on the Hugging Face Hub.

• Putting the Model Card on the Hub:

  scikit-learn models on Hugging Face Hub is an example of using skops to put a model card on the Hugging Face Hub.

• Tabular Regression:

  Tabular Regression with scikit-learn is an example of using skops to serialize a tabular regression model and create a model card and a Hugging Face Hub repository.

• Text Classification:

  Text Classification with scikit-learn is an example of using skops to serialize a text classification model and create a model card and a Hugging Face Hub repository.

• Using Intel(R) Extension for scikit-learn:

  Creating models that are accelerated by Intel(R) Extension for scikit-learn is an example of using Intel(R) Extension for scikit-learn to speed up inference of classical machine learning algorithms and how performance-optimized models work with Hugging Face Hub.

• Long semi-realistic guide using the California Housing dataset:

  Improve your data science workflow with skops and Hugging Face is an exercise that goes through a semi-realistic data science and machine learning task and develops a practical solution for it. It uses skops for model saving, model card generation, and upload to the Hugging Face Hub.