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improz4
/
model

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

Instructions to use improz4/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use improz4/model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="improz4/model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("improz4/model")
    model = AutoModelForMaskedLM.from_pretrained("improz4/model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
model
30.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 75 commits
improz4's picture
improz4
Training in progress, epoch 112
e8b1161 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    6.33 kB
    MyLogBert about 3 years ago
  • config.json
    584 Bytes
    Training in progress, epoch 1 about 3 years ago
  • generation_config.json
    90 Bytes
    MyLogBert about 3 years ago
  • pytorch_model.bin
    30.3 MB
    xet
    Training in progress, epoch 112 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 about 3 years ago
  • tokenizer_config.json
    366 Bytes
    Training in progress, epoch 1 about 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, epoch 1 about 3 years ago
  • vocab.txt
    93 Bytes
    Training in progress, epoch 1 about 3 years ago