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jvaquet
/
multilabel-classification-bert

Token Classification
Transformers
Safetensors
MultiLabelBert
multilabel
multilabel-token-classification
custom_code
Model card Files Files and versions
xet
Community

Instructions to use jvaquet/multilabel-classification-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jvaquet/multilabel-classification-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="jvaquet/multilabel-classification-bert", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("jvaquet/multilabel-classification-bert", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multilabel-classification-bert
1.33 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
jvaquet's picture
jvaquet
Update README.md
fa5d6bf verified 21 days ago
  • .gitattributes
    1.52 kB
    initial commit 21 days ago
  • README.md
    884 Bytes
    Update README.md 21 days ago
  • config.json
    1.17 kB
    Upload BertForMultiLabelTokenClassification 21 days ago
  • configuration_multilabelbert.py
    230 Bytes
    Upload BertForMultiLabelTokenClassification 21 days ago
  • model.safetensors
    1.33 GB
    xet
    Upload BertForMultiLabelTokenClassification 21 days ago
  • modeling_multilabelbert.py
    2.7 kB
    Upload BertForMultiLabelTokenClassification 21 days ago
  • tokenizer.json
    669 kB
    Upload tokenizer 21 days ago
  • tokenizer_config.json
    323 Bytes
    Upload tokenizer 21 days ago