Instructions to use msullivan/65aAocmV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use msullivan/65aAocmV with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("msullivan/65aAocmV") 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 msullivan/65aAocmV with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("msullivan/65aAocmV") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3791f138cb6ac9951634b650d6f3a77c512d4fadc04c6ddaccd9978a8066662a
- Size of remote file:
- 329 MB
- SHA256:
- e8bdac92ab61b3ddc032ad021f547594c7d36f3251c6df74101ed608050b92aa
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