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:
- 9f85cc9bc2b39beb3d6317f7409416184fd2a8e9006e0c0cf5768281776aa3b1
- Size of remote file:
- 52.5 MB
- SHA256:
- 4fcc0e2d57986350fc3f4fa40459285dd5a9d30781a217301bc19d097ed92bac
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