Instructions to use Y-Research-Group/CSRv2-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Y-Research-Group/CSRv2-retrieval with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Y-Research-Group/CSRv2-retrieval") 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:
- 551d0ea3241b11cf422ebd0811c3a15d88606f1d8828c1cb6baf0b487e8d391b
- Size of remote file:
- 52.5 MB
- SHA256:
- 1ec819a8cb6ddf4083fcb2daa6ccc1c8b328ac4268a317a61310e9626958d080
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