Instructions to use amazon/sm-hackathon-setfit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use amazon/sm-hackathon-setfit-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("amazon/sm-hackathon-setfit-model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use amazon/sm-hackathon-setfit-model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("amazon/sm-hackathon-setfit-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c21b85d1254f3d2b0df2c254c10bb917bfcd0536c99aa2a8e32e4a8e20b4472
- Size of remote file:
- 438 MB
- SHA256:
- a2ef042db9473c8fccd3106f38692e347345e4d2175bf913a54d0f87bb227742
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