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mlcorelib
/
deberta-base-uncased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
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bert
exbert
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xet
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2

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

  • Libraries
  • Transformers

    How to use mlcorelib/deberta-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="mlcorelib/deberta-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("mlcorelib/deberta-base-uncased")
    model = AutoModelForMaskedLM.from_pretrained("mlcorelib/deberta-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
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Inconsistency between model name and the model architecture from config.json

#2 opened almost 3 years ago by
jiang784

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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