Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ITOCJ/SciGenSetfit5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use ITOCJ/SciGenSetfit5 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ITOCJ/SciGenSetfit5") - sentence-transformers
How to use ITOCJ/SciGenSetfit5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ITOCJ/SciGenSetfit5") 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:
- 4b2e6fa1d0f14026177cad82f032886c00e6d97b251c87c507006a7924575050
- Size of remote file:
- 684 kB
- SHA256:
- 8511f79520f1bf65fda0367e3524af6fab16288d2aee23ea08c6ded6b466f611
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