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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
9

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")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

local-bertimbau

#9 opened 8 months ago by
g-mra

Fix: Replace incompatible model loading in example code

2
#8 opened 11 months ago by
anon-repair-bot

Add exported openvino model 'openvino_model_qint8_quantized.xml'

#7 opened about 1 year ago by
ArthurGprog

Aspect Based Sentiment Analysis (ABSA)?

#6 opened about 2 years ago by
deniseiras

Adding `safetensors` variant of this model

#5 opened about 3 years ago by
SFconvertbot

ValueError: Layer #0 (named "bert") expects 199 weight(s), but the saved weights have 197 element(s).

#4 opened over 3 years ago by
eduartheinen

Strange results for the Mask Task

#3 opened over 3 years ago by
Ramurti

The model's pipeline returns an error

3
#2 opened almost 4 years ago by
Eduarda
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