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raykallen
/
cybert_apache_parser

Token Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use raykallen/cybert_apache_parser with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="raykallen/cybert_apache_parser")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("raykallen/cybert_apache_parser")
    model = AutoModelForTokenClassification.from_pretrained("raykallen/cybert_apache_parser")
  • Notebooks
  • Google Colab
  • Kaggle
cybert_apache_parser
864 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
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patrickvonplaten
upload flax model
3a054b8 almost 5 years ago
  • .ipynb_checkpoints
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  • .gitattributes
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  • config.json
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  • flax_model.msgpack
    431 MB
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  • pytorch_model.bin
    433 MB
    xet
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