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google-bert
/
bert-large-uncased

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Instructions to use google-bert/bert-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

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  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="google-bert/bert-large-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-uncased")
    model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-uncased")
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📋 Documentation Enhancement Suggestion

#6 opened 3 months ago by
CroviaTrust

Adding Neuron-optimized model files

#5 opened 10 months ago by
badaoui

[AUTOMATED] Model Memory Requirements

#4 opened about 2 years ago by
model-sizer-bot
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