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:
- e0e4c1c093a04d932a89a6fbe9a82ea582c772ca12408bf7868db6164e8d4ab3
- Size of remote file:
- 131 Bytes
- SHA256:
- 87b28763fa3b38381817624a885a760f0677f0dc5675a830a09e2cb5fc55e66c
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