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snare2000
/
irl_mlm_model

Fill-Mask
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use snare2000/irl_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use snare2000/irl_mlm_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="snare2000/irl_mlm_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("snare2000/irl_mlm_model")
    model = AutoModelForMaskedLM.from_pretrained("snare2000/irl_mlm_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
irl_mlm_model
876 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
2a8b3ee verified over 1 year ago
  • runs
    bert-based-uncased-trained over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    End of training over 3 years ago
  • README.md
    1.25 kB
    update model card README.md over 3 years ago
  • config.json
    664 Bytes
    End of training over 3 years ago
  • generation_config.json
    90 Bytes
    End of training over 3 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    438 MB
    xet
    End of training over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    End of training over 3 years ago