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:
- 67192b928e725685ddb1350e1041cf81fd4ea0602c58c879cebb8a5d8a9be848
- Size of remote file:
- 10.9 kB
- SHA256:
- fc269e8e8b91a9e22097b28da3b2d2280ca2a62428ab42b9b5d4af0d7c571395
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