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muhtasham
/
small-mlm-snli

Fill-Mask
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use muhtasham/small-mlm-snli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use muhtasham/small-mlm-snli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="muhtasham/small-mlm-snli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("muhtasham/small-mlm-snli")
    model = AutoModelForMaskedLM.from_pretrained("muhtasham/small-mlm-snli")
  • Notebooks
  • Google Colab
  • Kaggle
small-mlm-snli
116 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
muhtasham's picture
muhtasham
update model card README.md
a0c11bf over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 3 years ago
  • README.md
    1.55 kB
    update model card README.md over 3 years ago
  • config.json
    648 Bytes
    Training in progress, step 500 over 3 years ago
  • pytorch_model.bin
    115 MB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 500 over 3 years ago
  • tokenizer.json
    711 kB
    Training in progress, step 500 over 3 years ago
  • tokenizer_config.json
    416 Bytes
    Training in progress, step 500 over 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, step 500 over 3 years ago
  • vocab.txt
    232 kB
    Training in progress, step 500 over 3 years ago