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DunnBC22
/
bert-base-uncased-Masked_Language_Modeling-Reddit_Comments

Fill-Mask
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments")
    model = AutoModelForMaskedLM.from_pretrained("DunnBC22/bert-base-uncased-Masked_Language_Modeling-Reddit_Comments")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-uncased-Masked_Language_Modeling-Reddit_Comments / runs
12.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
DunnBC22's picture
DunnBC22
End of training
fe0600b about 3 years ago
  • Mar15_17-25-41_8cb5130871e0
    End of training about 3 years ago