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:
- f6c8ad3d917334dbb4c7851250ccb92f519e2dc27063bf90e818412fa9dca5ce
- Size of remote file:
- 7.25 kB
- SHA256:
- 55d117deb86628d7d837f2c3963ad61e6985348a6c42bc9018772ece104b649e
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