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:
- 546e1100e48cb9d373e55e9fd42e6b6e9643e7352ec22ca6260c37003a61341a
- Size of remote file:
- 6.03 kB
- SHA256:
- c4fe31f28950572b9a6de95efa28fbf0bfffbe171eba2b461ba3f84dbbb957bd
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