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 onnx files and readme for usage with onnx
#14
by michaelfeil - opened
No description provided.
michaelfeil changed pull request title from add onnx files to add onnx files and readme for usage with onnx
Thanks for your contribution!
The README seems to have some errors. In line 378, ORTModelForFeatureExtraction should be ORTModelForSequenceClassification , and in line 389, model_ort should be model.
Thanks for giving this a coder review - this is now fixed @Shitao .
Same as reranker large- all PRs should be up now (en-1.5-large/base/small + reranker base/large)
Shitao changed pull request status to merged