Instructions to use Y-Research-Group/CSRv2-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-classification with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Y-Research-Group/CSRv2-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:
- e754a0c643f487dc95f0c13e1a699dcbd5179d74a6c344de3689cf22b8ea6b33
- Size of remote file:
- 313 Bytes
- SHA256:
- 0f0ed3380602b252fced3fab6d07c76752c32ffca818ccc61afaf17ae8edd96f
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