Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Corran/SciFunctions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use Corran/SciFunctions with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Corran/SciFunctions") - sentence-transformers
How to use Corran/SciFunctions with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Corran/SciFunctions") 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:
- 24bdec04f6b011d61ccc99b6c9c77ebe6ac16c5096769948b40b304b3bde9939
- Size of remote file:
- 28.6 kB
- SHA256:
- 95749c9bde6ef957c53d04db9cae6d10e02dfeaa39bc14d9f8a99e8dc4eb0cda
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