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google-bert
/
bert-base-uncased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Core ML
ONNX
Safetensors
English
bert
exbert
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Instructions to use google-bert/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google-bert/bert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="google-bert/bert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-uncased")
    model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-uncased")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased / coreml
1.41 GB
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  • 14 contributors
History: 2 commits
velyan's picture
velyan
Add Core ML conversion
073dc31 almost 3 years ago
  • fill-mask
    Add Core ML conversion (#42) almost 3 years ago
  • question-answering
    Add Core ML conversion almost 3 years ago
  • text-classification
    Add Core ML conversion almost 3 years ago