Instructions to use Y-Research-Group/CSRv2-reranking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Y-Research-Group/CSRv2-reranking with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Y-Research-Group/CSRv2-reranking") 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
Download config_sentence_transformers.json from Y-Research-Group/CSRv2-reranking: direct link, hf CLI and curl.
- Browser
- Download file 369 Bytes
-
https://huggingface.co/Y-Research-Group/CSRv2-reranking/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://Y-Research-Group/CSRv2-reranking/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/Y-Research-Group/CSRv2-reranking/resolve/main/config_sentence_transformers.json
369 Bytes
- Xet hash:
- 517e5cdddba471f02b3480909d00cb7407767a565b180c0511ebc89406ada587
- Size of remote file:
- 369 Bytes
- SHA256:
- 76e706f400e0b10b0450d38007c13ed850d9f500fab96e7bfa1f1c0f66880d56
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