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neuralmind
/
bert-base-portuguese-cased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Portuguese
bert
Model card Files Files and versions
xet
Community
10

Instructions to use neuralmind/bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use neuralmind/bert-base-portuguese-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="neuralmind/bert-base-portuguese-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("neuralmind/bert-base-portuguese-cased")
    model = AutoModelForMaskedLM.from_pretrained("neuralmind/bert-base-portuguese-cased", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-portuguese-cased
1.4 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 13 commits
neuralmind's picture
neuralmind
joaogante's picture
joaogante
Add TF weights (#1)
94d69c9 about 4 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    3.6 kB
    Migrate model card from transformers-repo over 5 years ago
  • added_tokens.json
    2 Bytes
    Update added_tokens.json over 6 years ago
  • config.json
    647 Bytes
    Update config.json over 6 years ago
  • flax_model.msgpack
    436 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin
    438 MB
    xet
    Update pytorch_model.bin over 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json over 6 years ago
  • tf_model.h5
    529 MB
    xet
    Add TF weights (#1) about 4 years ago
  • tokenizer_config.json
    43 Bytes
    Update tokenizer_config.json over 6 years ago
  • vocab.txt
    210 kB
    Update vocab.txt over 6 years ago