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snoop2head
/
EmailBERT-base

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

Instructions to use snoop2head/EmailBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use snoop2head/EmailBERT-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="snoop2head/EmailBERT-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("snoop2head/EmailBERT-base")
    model = AutoModelForMaskedLM.from_pretrained("snoop2head/EmailBERT-base")
  • Notebooks
  • Google Colab
  • Kaggle
EmailBERT-base / runs
52.7 kB
Ctrl+K
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  • 1 contributor
History: 13 commits
snoop2head's picture
snoop2head
Training in progress, step 53570
e0b2db6 almost 4 years ago
  • Aug06_20-48-13_nipa2022-50741
    Training in progress, epoch 1 almost 4 years ago
  • Aug06_20-52-35_nipa2022-50741
    Training in progress, epoch 3 almost 4 years ago
  • Aug08_21-41-27_nipa2022-50741
    Training in progress, step 5357 almost 4 years ago
  • Aug09_00-01-05_nipa2022-50741
    Training in progress, step 53570 almost 4 years ago