Instructions to use ancerlop/SetFitLocal0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ancerlop/SetFitLocal0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ancerlop/SetFitLocal0") 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 ancerlop/SetFitLocal0 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ancerlop/SetFitLocal0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aad8ecd97742c3630a6c53070a9486283010696878e15bc2913cc0e02cbd8e3
- Size of remote file:
- 438 MB
- SHA256:
- 14ceb984c501267e9ca7a07990080dd19ed95c1e5a8cfb713705d688875993b1
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