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vish26
/
BERT-Restaurant-review

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

Instructions to use vish26/BERT-Restaurant-review with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vish26/BERT-Restaurant-review with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vish26/BERT-Restaurant-review")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vish26/BERT-Restaurant-review")
    model = AutoModelForSequenceClassification.from_pretrained("vish26/BERT-Restaurant-review")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-Restaurant-review
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
vish26's picture
vish26
Update README.md
c345b0e verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.22 kB
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  • config.json
    766 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    732 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.3 kB
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  • vocab.txt
    262 kB
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