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:
- ddbb5d0117d6f2af8f2551a7aeb1d4d88da2148d205ad90b70738e4223d4ab08
- Size of remote file:
- 109 kB
- SHA256:
- 2dadd502f8ae103dc46a6b3e8a535a6b013b25ec23f6e0f19416e9176293c5ad
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