Instructions to use afg1/rat_transcript_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use afg1/rat_transcript_classifier with Scikit-learn:
from huggingface_hub import hf_hub_download from skops.io import load # make sure model file is in skops format # if model is a pickle file, make sure it's from a source you trust model = load(hf_hub_download("afg1/rat_transcript_classifier", "rat_transcript_classifier.skops")) - Notebooks
- Google Colab
- Kaggle
Download rat_transcript_classifier.skops from afg1/rat_transcript_classifier: direct link, hf CLI and curl.
- Browser
- Download file 4.2 MB
-
https://huggingface.co/afg1/rat_transcript_classifier/resolve/main/rat_transcript_classifier.skops
- Command line
-
hf download hf://afg1/rat_transcript_classifier/rat_transcript_classifier.skops
-
curl -L -o rat_transcript_classifier.skops https://huggingface.co/afg1/rat_transcript_classifier/resolve/main/rat_transcript_classifier.skops
4.2 MB
- Xet hash:
- 89d6f370d0040849ff8031b4b33ac0d7f72398a12a4458c5565efa3b7be9e6e9
- Size of remote file:
- 4.2 MB
- SHA256:
- 3e9f33dada56525da4ba139bab6b60606a2cc8931351579f370705d8e08851df
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