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:
- db810018e5532a02511c7de79ba683a1147490b5afc8c0ae9f53a6f7771ccc86
- Size of remote file:
- 132 Bytes
- SHA256:
- ae971760e0431c49f152d9d59e625946405df5151459ce98641e58f753e8e265
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