Instructions to use Y-Research-Group/CSRv2-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Y-Research-Group/CSRv2-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Y-Research-Group/CSRv2-sts") 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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69840118275094d78f02e8502d47f6a51e6a684bd26fdda720842aaeab5449b1
- Size of remote file:
- 500 Bytes
- SHA256:
- e2f1c02fa8891e3da08d6ae44ac3e8ec63191b72133e64e1d89189068c7ed6f1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.