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maidalun1020
/
bce-reranker-base_v1

Text Classification
sentence-transformers
PyTorch
Transformers
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
14

Instructions to use maidalun1020/bce-reranker-base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use maidalun1020/bce-reranker-base_v1 with sentence-transformers:

    from sentence_transformers import CrossEncoder
    
    model = CrossEncoder("maidalun1020/bce-reranker-base_v1")
    
    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)
  • Transformers

    How to use maidalun1020/bce-reranker-base_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="maidalun1020/bce-reranker-base_v1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maidalun1020/bce-reranker-base_v1")
    model = AutoModelForSequenceClassification.from_pretrained("maidalun1020/bce-reranker-base_v1", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#14 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#13 opened over 1 year ago by
SFconvertbot

Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`

#12 opened over 1 year ago by
tomaarsen

How to use rerank model in langchain?

1
#11 opened almost 2 years ago by
Deforb

Adding `safetensors` variant of this model

#9 opened almost 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#8 opened almost 2 years ago by
SFconvertbot

这个词表也太大了吧,参数全在embedding上

#6 opened over 2 years ago by
yutianCCNU

这个模型可以微调么,有没有微调的示例代码

3
#5 opened over 2 years ago by
biaodiluer

Error running it with chatpdf

2
#3 opened over 2 years ago by
protoivan

Adding `safetensors` variant of this model

#1 opened almost 3 years ago by
SFconvertbot
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