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seongwoon
/
labor_institute_token_256_batch_64

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

Instructions to use seongwoon/labor_institute_token_256_batch_64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seongwoon/labor_institute_token_256_batch_64 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="seongwoon/labor_institute_token_256_batch_64")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("seongwoon/labor_institute_token_256_batch_64")
    model = AutoModelForMaskedLM.from_pretrained("seongwoon/labor_institute_token_256_batch_64", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
labor_institute_token_256_batch_64
369 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
seongwoon's picture
seongwoon
End of training
f4df0c1 verified about 2 years ago
  • runs
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.08 kB
    End of training about 2 years ago
  • config.json
    738 Bytes
    Training in progress, step 500 about 2 years ago
  • generation_config.json
    90 Bytes
    End of training about 2 years ago
  • model.safetensors
    369 MB
    xet
    End of training about 2 years ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, step 500 about 2 years ago