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python -m pip install setfit1from setfit import SetFitModel
2
3# Download from Hub and run inference
4model = SetFitModel.from_pretrained("petarpepi/all-MiniLM-L12-v2-sentiment140-twitter")
5# Run inference
6preds = model(["that pizza was the coolest", "pineapple on pizza is the worst 🤮"])
7# class 1 = positive
8# class 0 = negative1@article{https://doi.org/10.48550/arxiv.2209.11055,
2doi = {10.48550/ARXIV.2209.11055},
3url = {https://arxiv.org/abs/2209.11055},
4author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
5keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
6title = {Efficient Few-Shot Learning Without Prompts},
7publisher = {arXiv},
8year = {2022},
9copyright = {Creative Commons Attribution 4.0 International}
10}