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BAAI
/
bge-reranker-large
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298
Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
English
Chinese
xlm-roberta
text-classification
mteb
Eval Results
text-embeddings-inference
Inference Endpoints
5 papers
License:
mit
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执行性能问题
#19
by
fffff123
- opened
Jun 5
Discussion
fffff123
Jun 5
model(**inputs, return_dict=True).logits.view(-1, ).float() 这行代码执行会耗时很大,求教是啥原因呢,要2s左右了,怎么优化呢?
FlagEmbedding 、 Huggingface transformers、reranker with the ONNX files、reranker with infinity 这几种调用方式,性能有区别么
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