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openbmb
/
MiniCPM-Reranker

Text Classification
Transformers
Safetensors
Chinese
English
custom_code
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xet
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2

Instructions to use openbmb/MiniCPM-Reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use openbmb/MiniCPM-Reranker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="openbmb/MiniCPM-Reranker", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("openbmb/MiniCPM-Reranker", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Update model metadata to set pipeline tag to the new `text-ranking` and tags to `sentence-transformers`

#2 opened about 1 year ago by
tomaarsen
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