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 training_args.bin from Y-Research-Group/CSRv2-reranking: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/Y-Research-Group/CSRv2-reranking/resolve/main/training_args.bin
- Command line
-
hf download hf://Y-Research-Group/CSRv2-reranking/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Y-Research-Group/CSRv2-reranking/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- e138fba7fe06731ad83c19f966fc4493d2b5115d4c36dc8baf5cc2dd1efaa72b
- Size of remote file:
- 6.03 kB
- SHA256:
- 7534ef53d07a1e0b000dd150394b694f703e2636bd18da956dc53ac387c9e6dd
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