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NbAiLabArchive
/
test_NCC_small_pytorch

Fill-Mask
Transformers
roberta
Model card Files Files and versions
xet
Community

Instructions to use NbAiLabArchive/test_NCC_small_pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLabArchive/test_NCC_small_pytorch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NbAiLabArchive/test_NCC_small_pytorch")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_NCC_small_pytorch")
    model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_NCC_small_pytorch")
  • Notebooks
  • Google Colab
  • Kaggle
test_NCC_small_pytorch / __pycache__
13.5 kB
Ctrl+K
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  • 2 contributors
History: 1 commit
pere's picture
pere
small change
a4101b3 over 4 years ago
  • run_mlm.cpython-38.pyc
    13.5 kB
    small change over 4 years ago