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:
- 2665b677de29185248df749e11c61a17f2bcb835554e7e5146e673f74859beeb
- Size of remote file:
- 41.6 kB
- SHA256:
- 6790c7fffe6c2ab476607806d7b8ab06f8b147b2dce5a6a6eba84ea624ba05b8
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