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 CrossEncoder model = CrossEncoder("BAAI/bge-reranker-base") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores) - Inference
- Notebooks
- Google Colab
- Kaggle
HF TGI deployment
#8
by austinmw - opened
Can this model be deployed with the HF TGI server?
I'm particularly interested in what inference server / DLC image to use to deploy it on SageMaker?
You can use HF Text Embeddings Inference to deploy bge-reranker models.
https://huggingface.co/docs/text-embeddings-inference/index
https://huggingface.co/docs/text-embeddings-inference/quick_tour#re-rankers