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versae
/
roberta-base-ncc-512d

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

Instructions to use versae/roberta-base-ncc-512d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use versae/roberta-base-ncc-512d with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="versae/roberta-base-ncc-512d")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-ncc-512d")
    model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-ncc-512d")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-ncc-512d / wandb
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  • 1 contributor
History: 565 commits
versae's picture
versae
Saving weights and logs of step 487000
03f986b over 4 years ago
  • run-20220127_170102-3ai81gzh
    Saving weights and logs of step 1000 over 4 years ago
  • run-20220131_181009-hhypc7yn
    Saving weights and logs of step 487000 over 4 years ago
  • debug-internal.log
    52 Bytes
    Saving weights and logs of step 1000 over 4 years ago
  • debug.log
    43 Bytes
    Saving weights and logs of step 1000 over 4 years ago
  • latest-run
    28 Bytes
    Saving weights and logs of step 1000 over 4 years ago