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JiaqiLee
/
robust-bert-yelp

Text Classification
Transformers
PyTorch
English
bert
Model card Files Files and versions
xet
Community
2

Instructions to use JiaqiLee/robust-bert-yelp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JiaqiLee/robust-bert-yelp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JiaqiLee/robust-bert-yelp")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JiaqiLee/robust-bert-yelp")
    model = AutoModelForSequenceClassification.from_pretrained("JiaqiLee/robust-bert-yelp")
  • Notebooks
  • Google Colab
  • Kaggle
robust-bert-yelp
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
JiaqiLee's picture
JiaqiLee
Update README.md
a40e8da about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.36 kB
    Update README.md about 3 years ago
  • config.json
    806 Bytes
    Update config.json about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage"

    What is a pickle import?

    438 MB
    xet
    Upload 4 files about 3 years ago
  • tokenizer.json
    466 kB
    Upload 4 files about 3 years ago
  • vocab.txt
    232 kB
    Upload 4 files about 3 years ago