Instructions to use dss107/news2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dss107/news2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dss107/news2") 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 dss107/news2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("dss107/news2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 186f2b923b0e588965531e92b9cd9a8bb30524e8011fb8b87bf793342d928eec
- Size of remote file:
- 438 MB
- SHA256:
- c6b35197c09788edc8100149fec76ded07e4e1be7ad7d03f4cb8563751446141
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