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UIC-Liu-Lab
/
DAS-Rest2Cam

Fill-Mask
Transformers
PyTorch
TensorBoard
English
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use UIC-Liu-Lab/DAS-Rest2Cam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UIC-Liu-Lab/DAS-Rest2Cam with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="UIC-Liu-Lab/DAS-Rest2Cam")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("UIC-Liu-Lab/DAS-Rest2Cam")
    model = AutoModelForMaskedLM.from_pretrained("UIC-Liu-Lab/DAS-Rest2Cam")
  • Notebooks
  • Google Colab
  • Kaggle
DAS-Rest2Cam / after_mlm2
185 kB
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  • 1 contributor
History: 1 commit
ZixuanKe's picture
ZixuanKe
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  • output_impt.npy
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