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Pierre-Arthur
/
distilroberta_base_eurolex_mlm_model

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

Instructions to use Pierre-Arthur/distilroberta_base_eurolex_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Pierre-Arthur/distilroberta_base_eurolex_mlm_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Pierre-Arthur/distilroberta_base_eurolex_mlm_model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Pierre-Arthur/distilroberta_base_eurolex_mlm_model")
    model = AutoModelForMaskedLM.from_pretrained("Pierre-Arthur/distilroberta_base_eurolex_mlm_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilroberta_base_eurolex_mlm_model / runs
9.72 kB
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  • 1 contributor
History: 1 commit
Pierre-Arthur's picture
Pierre-Arthur
End of training
9ef36e4 about 3 years ago
  • Jul28_13-54-51_26d536c22c05
    End of training about 3 years ago
  • Jul28_13-57-33_26d536c22c05
    End of training about 3 years ago