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orzhan
/
ruroberta-ruatd-binary

Text Classification
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use orzhan/ruroberta-ruatd-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use orzhan/ruroberta-ruatd-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="orzhan/ruroberta-ruatd-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("orzhan/ruroberta-ruatd-binary")
    model = AutoModelForSequenceClassification.from_pretrained("orzhan/ruroberta-ruatd-binary")
  • Notebooks
  • Google Colab
  • Kaggle
ruroberta-ruatd-binary
2.84 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
28a092b over 2 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model over 2 years ago
  • README.md
    89 Bytes
    Create README.md about 4 years ago
  • config.json
    810 Bytes
    add model about 4 years ago
  • model.safetensors
    1.42 GB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.42 GB
    xet
    add model about 4 years ago