Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
English
Chinese
xlm-roberta
text-classification
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use BAAI/bge-reranker-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-reranker-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-reranker-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-reranker-large") model = AutoModelForSequenceClassification.from_pretrained("BAAI/bge-reranker-large") - Inference
- Notebooks
- Google Colab
- Kaggle
request error: error sending request for url (https://huggingface.co/BAAI/bge-reranker-large/resolve/refs%2Fpr%2F4/config.json): erro
#22
by qinrong - opened
