Instructions to use krumeto/setfit-recipe-classifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use krumeto/setfit-recipe-classifer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("krumeto/setfit-recipe-classifer") 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 krumeto/setfit-recipe-classifer with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("krumeto/setfit-recipe-classifer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6083812aecb67881e2d80cb818e15cd6590410c745748056a7923158b983c721
- Size of remote file:
- 134 MB
- SHA256:
- 4713f99fc05629856a51756fa5c121f8d296ad1624f4874580f8197be3695fce
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