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("phospho-small-46f5c4e") | |
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) | |