| language: en | |
| license: apache-2.0 | |
| # phospho-small | |
| This is a SetFit model that can be used for Text Classification on CPU. | |
| The model has been trained using an efficient few-shot learning technique. | |
| ## Usage | |
| ```python | |
| from setfit import SetFitModel | |
| model = SetFitModel.from_pretrained("MODEL_ID") | |
| outputs = model.predict(["This is a sentence to classify", "Another sentence"]) | |
| # tensor([1, 0]) | |
| ``` | |
| ## References | |
| This work was possible thanks to the SetFit library and the work of: | |
| Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren (2022). Efficient Few-Shot Learning Without Prompts. | |
| ArXiv: [https://doi.org/10.48550/arxiv.2209.11055](https://doi.org/10.48550/arxiv.2209.11055) | |