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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
如何实现多线程部署呢?TEI不支持这个模型吗?
#21
by qinrong - opened
如何实现多线程部署呢?
TEI支持的。如果存在问题,建议在TEI官方repo提问,我们不太清楚TEI的实现细节。
TEI支持的。如果存在问题,建议在TEI官方repo提问,我们不太清楚TEI的实现细节。
请问如何使用这个onnx呢