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miladfa7
/
pretrain_model

Fill-Mask
Transformers
bert
Model card Files Files and versions
xet
Community

Instructions to use miladfa7/pretrain_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use miladfa7/pretrain_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="miladfa7/pretrain_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("miladfa7/pretrain_model")
    model = AutoModelForMaskedLM.from_pretrained("miladfa7/pretrain_model")
  • Notebooks
  • Google Colab
  • Kaggle
pretrain_model
1.22 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
patrickvonplaten's picture
patrickvonplaten
allow flax
07a3df9 almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    434 Bytes
    Update config.json almost 6 years ago
  • eval_results_lm.txt
    31 Bytes
    Update eval_results_lm.txt almost 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_config.json
    2 Bytes
    Update tokenizer_config.json almost 6 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "transformers.training_args.TrainingArguments",
    • "torch.device"

    How to fix it?

    1.1 kB
    xet
    Update training_args.bin almost 6 years ago
  • vocab.txt
    1.22 MB
    Update vocab.txt almost 6 years ago