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LiYuan
/
Amazon-Cross-Encoder-Classification

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use LiYuan/Amazon-Cross-Encoder-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LiYuan/Amazon-Cross-Encoder-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LiYuan/Amazon-Cross-Encoder-Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LiYuan/Amazon-Cross-Encoder-Classification")
    model = AutoModelForSequenceClassification.from_pretrained("LiYuan/Amazon-Cross-Encoder-Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Amazon-Cross-Encoder-Classification
439 MB
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  • 2 contributors
History: 5 commits
LiYuan's picture
LiYuan
Update
e7706e8 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • 1.png
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  • CESoftmaxAccuracyEvaluator_dev_results.csv
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  • README.md
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  • config.json
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  • pytorch_model.bin
    438 MB
    xet
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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