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do-me
/
twhin-bert-base

Fill-Mask
Transformers
ONNX
bert
Model card Files Files and versions
xet
Community

Instructions to use do-me/twhin-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use do-me/twhin-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="do-me/twhin-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("do-me/twhin-bert-base")
    model = AutoModelForMaskedLM.from_pretrained("do-me/twhin-bert-base")
  • Notebooks
  • Google Colab
  • Kaggle
twhin-bert-base / onnx
1.39 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
do-me's picture
do-me
Upload 7 files
630b83a verified over 2 years ago
  • model.onnx
    1.11 GB
    xet
    Upload 7 files over 2 years ago
  • model_quantized.onnx
    279 MB
    xet
    Upload 7 files over 2 years ago