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tuhailong
/
cross-encoder-bert-base

Text Classification
Transformers
PyTorch
Safetensors
Chinese
bert
sbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use tuhailong/cross-encoder-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tuhailong/cross-encoder-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tuhailong/cross-encoder-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tuhailong/cross-encoder-bert-base")
    model = AutoModelForSequenceClassification.from_pretrained("tuhailong/cross-encoder-bert-base")
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  • Google Colab
  • Kaggle
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  • Hub documentation

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

#3 opened about 1 year ago by
tomaarsen

How to fit this model

#2 opened over 2 years ago by
leatral
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