Instructions to use philschmid/setfit-ag-news-endpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use philschmid/setfit-ag-news-endpoint with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("philschmid/setfit-ag-news-endpoint") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from philschmid/setfit-ag-news-endpoint: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/philschmid/setfit-ag-news-endpoint/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://philschmid/setfit-ag-news-endpoint/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/philschmid/setfit-ag-news-endpoint/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- c8e5e3ab53f398a1637b90b82be5a7dbc77fa7bfa15f1f34c3bae1602c29e5ee
- Size of remote file:
- 438 MB
- SHA256:
- 393137b7f36cac72e781dc14923ecf49a05927805b148d519dd4bab662ed5b4d
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