Instructions to use librarian-bots/is_new_dataset_teacher_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use librarian-bots/is_new_dataset_teacher_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("librarian-bots/is_new_dataset_teacher_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] - setfit
How to use librarian-bots/is_new_dataset_teacher_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("librarian-bots/is_new_dataset_teacher_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95b5ef0aa0420959adacef605a28c779894a4f9bcd3747fc60c7a99dc5e3d286
- Size of remote file:
- 438 MB
- SHA256:
- cebc35501808343cb258a3ca0feaefe65d4aac6353f2630c2c8a019fe433c636
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