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inctdd
/
told_br_binary_sm

Text Classification
Transformers
PyTorch
Safetensors
Portuguese
Trained with AutoTrain
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use inctdd/told_br_binary_sm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="inctdd/told_br_binary_sm")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("inctdd/told_br_binary_sm", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
told_br_binary_sm
872 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
alexandreteles's picture
alexandreteles
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
65030d7 over 2 years ago
  • .gitattributes
    1.61 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    1.96 kB
    Update README.md over 3 years ago
  • config.json
    1.06 kB
    xet
    Commit From AutoTrain over 3 years ago
  • model.safetensors
    436 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    436 MB
    xet
    Commit From AutoTrain over 3 years ago
  • special_tokens_map.json
    125 Bytes
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer.json
    678 kB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer_config.json
    513 Bytes
    xet
    Commit From AutoTrain over 3 years ago
  • vocab.txt
    210 kB
    Commit From AutoTrain over 3 years ago