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:

    sphx_glr_auto_examples_plot_hf_hub.py 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:

    sphx_glr_auto_examples_plot_intelex.py 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 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.