Instructions to use Kick28/finetunned_sbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Kick28/finetunned_sbert with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Kick28/finetunned_sbert") 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 Kick28/finetunned_sbert with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Kick28/finetunned_sbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dea54cfe1cd70c3ea954fb108f2dbcffbddb7351a92fe4594b0375790ca38d04
- Size of remote file:
- 438 MB
- SHA256:
- 5cd50dd0684037b595c9fb1fff6db9bf92e584688509a500bc6b1b653133d964
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