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sancharidan
/
quantized_expfinder

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

Instructions to use sancharidan/quantized_expfinder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sancharidan/quantized_expfinder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sancharidan/quantized_expfinder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sancharidan/quantized_expfinder")
    model = AutoModelForSequenceClassification.from_pretrained("sancharidan/quantized_expfinder")
  • Notebooks
  • Google Colab
  • Kaggle
quantized_expfinder
183 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
sancharidan's picture
sancharidan
Upload vocab.txt
3bb7d91 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    26 Bytes
    Update README.md about 4 years ago
  • config.json
    802 Bytes
    Upload config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (8)

    • "collections.OrderedDict",
    • "torch.per_tensor_affine",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.qint8",
    • "torch._utils._rebuild_qtensor",
    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch.QInt8Storage"

    How to fix it?

    183 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json about 4 years ago
  • tokenizer_config.json
    382 Bytes
    Upload tokenizer_config.json about 4 years ago
  • vocab.txt
    228 kB
    Upload vocab.txt about 4 years ago