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:
- 9d5dec43fe2e5ba676ecd964d5f36fd46a63530b2e4096abee430d05346b348b
- Size of remote file:
- 11.4 MB
- SHA256:
- 00bc7e8d1c2c18e5ced697f8b4beb4e4e8f4285180ffbe6b51d1b46d12cc9a75
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