Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use mikeee/setfit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use mikeee/setfit-model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("mikeee/setfit-model") - sentence-transformers
How to use mikeee/setfit-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mikeee/setfit-model") 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:
- 88adbfd29855efc63cbdec89e62213883ccb12802ba3840e8c2c6959875fb3eb
- Size of remote file:
- 44.1 kB
- SHA256:
- 9b853608c506394fd6484cf69e5e68e65e6fcf2293f5ed45da3bc4d4a6875434
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