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| Label | F1 | Accuracy |
|---|---|---|
| all | 0.9412 | 0.9744 |
pip install setfit1from setfit import SetFitModel
2
3# Download from the 🤗 Hub
4model = SetFitModel.from_pretrained("twright8/setfit_lobbying_classifier_test")
5# Run inference
6preds = model("I loved the spiderman movie!")1@article{https://doi.org/10.48550/arxiv.2209.11055,
2 doi = {10.48550/ARXIV.2209.11055},
3 url = {https://arxiv.org/abs/2209.11055},
4 author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
5 keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
6 title = {Efficient Few-Shot Learning Without Prompts},
7 publisher = {arXiv},
8 year = {2022},
9 copyright = {Creative Commons Attribution 4.0 International}
10}