Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ITOCJ/SciGenSetfit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use ITOCJ/SciGenSetfit with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ITOCJ/SciGenSetfit") - sentence-transformers
How to use ITOCJ/SciGenSetfit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ITOCJ/SciGenSetfit") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c04ac0a1fc76e0cb9c275c6a267e6de0043e2e9d787772cb7b4a3c68a592f4f
- Size of remote file:
- 712 kB
- SHA256:
- 2fc687b11de0bc1b3d8348f92e3b49ef1089a621506c7661fbf3248fcd54947e
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