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aleksahet
/
divine-tree-92

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

Instructions to use aleksahet/divine-tree-92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aleksahet/divine-tree-92 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="aleksahet/divine-tree-92")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("aleksahet/divine-tree-92")
    model = AutoModelForMaskedLM.from_pretrained("aleksahet/divine-tree-92", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
divine-tree-92
267 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
aleksahet's picture
aleksahet
End of training
c80c008 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.4 kB
    End of training almost 3 years ago
  • config.json
    588 Bytes
    Training in progress, step 10000 almost 3 years ago
  • generation_config.json
    90 Bytes
    Model save almost 3 years ago
  • pytorch_model.bin
    266 MB
    xet
    Model save almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 10000 almost 3 years ago
  • tokenizer.json
    708 kB
    Training in progress, step 10000 almost 3 years ago
  • tokenizer_config.json
    295 Bytes
    Training in progress, step 10000 almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, step 10000 almost 3 years ago