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holygrimm
/
Res-BERT

Token Classification
Adapters
Safetensors
Transformers
English
distilbert
resume-classification
multi-label-classification
human-resources
career-guidance
fine-tuned
Model card Files Files and versions
xet
Community

Instructions to use holygrimm/Res-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Adapters

    How to use holygrimm/Res-BERT with Adapters:

    from adapters import AutoAdapterModel
    
    model = AutoAdapterModel.from_pretrained("undefined")
    model.load_adapter("holygrimm/Res-BERT", set_active=True)
  • Transformers

    How to use holygrimm/Res-BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="holygrimm/Res-BERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("holygrimm/Res-BERT")
    model = AutoModelForTokenClassification.from_pretrained("holygrimm/Res-BERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Res-BERT
572 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
holygrimm's picture
holygrimm
Create README.md
13b46c5 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.73 kB
    Create README.md over 1 year ago
  • config.json
    5.41 MB
    Upload 7 files over 1 year ago
  • model.safetensors
    565 MB
    xet
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  • special_tokens_map.json
    132 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.28 kB
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  • training_args.bin
    5.24 kB
    xet
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  • vocab.txt
    232 kB
    Upload 7 files over 1 year ago