Instructions to use UWECProgrammer/setfit-model-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use UWECProgrammer/setfit-model-2.3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("UWECProgrammer/setfit-model-2.3") 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] - setfit
How to use UWECProgrammer/setfit-model-2.3 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("UWECProgrammer/setfit-model-2.3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e5d1c0c04e4e70ac0c2fe6cf4eddc9c8976b0470d6a58d186ebcec29f2ad793
- Size of remote file:
- 499 MB
- SHA256:
- 8806b71ef449ce00eac4ccaee3783fd09c7076d44de06807b1d17a3c88750676
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