[Feature request] Scikit learn integration

As an initial step, a simple integration in the Inference API would be similar to what is done in this repo.

model = joblib.load(cached_download(
    hf_hub_url(REPO_ID, "sklearn_model.joblib")
))

We could do something similar to the Table QA widget and add a structured-data-classification task.

Unless there’s a bigger plan at the moment, this could be a simple enough thing to add from our side to showcase simple classification/regression use cases. We could upload some of the example models from the documentation to a scikit-learn-examples org and let users test them directly in the browser.

WDYT @julien-c?

[julien-c]

security-wise I think we’ll be able to find ways to make it work!

[adrinjalali]

With the work being done in https://github.com/skops-dev/skops/ and the work being done on the api-inference-community side (e.g.: https://github.com/huggingface/api-inference-community/pull/67, https://github.com/huggingface/api-inference-community/pull/79, https://github.com/huggingface/api-inference-community/pull/83), support for scikit-learn is improving. It’s an ongoing work, but a basic support is now there and this issue can be closed since the work is done on other repos.