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huberm
/
ModernBERT-base-Croft-Tagger-func-labels

Token Classification
Transformers
Safetensors
English
modernbert
Model card Files Files and versions
xet
Community

Instructions to use huberm/ModernBERT-base-Croft-Tagger-func-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use huberm/ModernBERT-base-Croft-Tagger-func-labels with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="huberm/ModernBERT-base-Croft-Tagger-func-labels")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("huberm/ModernBERT-base-Croft-Tagger-func-labels")
    model = AutoModelForTokenClassification.from_pretrained("huberm/ModernBERT-base-Croft-Tagger-func-labels")
  • Notebooks
  • Google Colab
  • Kaggle
ModernBERT-base-Croft-Tagger-func-labels
602 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
huberm's picture
huberm
Update README.md
b05121a verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1 kB
    Update README.md about 2 months ago
  • config.json
    2.14 kB
    Upload ModernBertForTokenClassification about 2 months ago
  • model.safetensors
    598 MB
    xet
    Upload ModernBertForTokenClassification about 2 months ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    349 Bytes
    Upload tokenizer about 2 months ago