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caiocof
/
teste_bertimbau

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use caiocof/teste_bertimbau with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="caiocof/teste_bertimbau")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("caiocof/teste_bertimbau")
    model = AutoModelForMaskedLM.from_pretrained("caiocof/teste_bertimbau")
  • Notebooks
  • Google Colab
  • Kaggle
teste_bertimbau
872 MB
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
1ab67aa verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    646 Bytes
    Create config.json over 2 years ago
  • model.safetensors
    436 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    436 MB
    xet
    Rename best_model_state.bin to pytorch_model.bin over 2 years ago