Text Classification
sentence-transformers
PyTorch
ONNX
Safetensors
English
Chinese
xlm-roberta
mteb
text-embeddings-inference
Eval Results (legacy)
Instructions to use BAAI/bge-reranker-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-reranker-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-reranker-base") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Add fast tokenizer (#5)
Browse files- fast tokenizer (626196da9f715d8e624b68daa6b56eef32003555)
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- tokenizer.json +3 -0
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tokenizer.json
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oid sha256:9eb652ac4e40cc093272bbbe0f55d521cf67570060227109b5cdc20945a4489e
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size 17098107
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