Instructions to use Y-Research-Group/CSRv2-pair_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Y-Research-Group/CSRv2-pair_classification with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Y-Research-Group/CSRv2-pair_classification") 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:
- 806631c0de72755e8384b09e9d4c62933e24d3003b85a46e13567e86979644bf
- Size of remote file:
- 6.03 kB
- SHA256:
- 91dc05d0ce6ff0f677197ed843acf4962e6500ea603cdec6d3a4d17698e0df43
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