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Duplicated from  google-bert/bert-base-uncased

osanseviero
/
bert-base-uncased-copy

Fill-Mask
Transformers
PyTorch
JAX
Rust
Core ML
Safetensors
English
bert
exbert
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use osanseviero/bert-base-uncased-copy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="osanseviero/bert-base-uncased-copy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("osanseviero/bert-base-uncased-copy")
    model = AutoModelForMaskedLM.from_pretrained("osanseviero/bert-base-uncased-copy")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-copy / coreml
532 MB
Ctrl+K
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  • 3 contributors
History: 1 commit
osanseviero's picture
osanseviero
Add Core ML conversion (#3)
164ce17 about 3 years ago
  • masked-lm
    Add Core ML conversion (#3) about 3 years ago