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netease-youdao
/
Rerank

Text Classification
Transformers
ONNX
xlm-roberta
Model card Files Files and versions
xet
Community
1

Instructions to use netease-youdao/Rerank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use netease-youdao/Rerank with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="netease-youdao/Rerank")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("netease-youdao/Rerank")
    model = AutoModelForSequenceClassification.from_pretrained("netease-youdao/Rerank")
  • Notebooks
  • Google Colab
  • Kaggle
Rerank
561 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
DaXiong's picture
DaXiong
Upload rerank.onnx and configs
fbdee35 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    28 Bytes
    initial commit about 2 years ago
  • config.json
    760 Bytes
    Upload rerank.onnx and configs about 2 years ago
  • rerank.onnx
    556 MB
    xet
    Upload rerank.onnx and configs about 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload rerank.onnx and configs about 2 years ago
  • special_tokens_map.json
    280 Bytes
    Upload rerank.onnx and configs about 2 years ago
  • tokenizer_config.json
    1.2 kB
    Upload rerank.onnx and configs about 2 years ago
  • version.txt
    7 Bytes
    Upload rerank.onnx and configs about 2 years ago