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.