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ml6team
/
keyphrase-extraction-kbir-kpcrowd

Token Classification
Transformers
PyTorch
English
roberta
keyphrase-extraction
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use ml6team/keyphrase-extraction-kbir-kpcrowd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ml6team/keyphrase-extraction-kbir-kpcrowd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ml6team/keyphrase-extraction-kbir-kpcrowd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ml6team/keyphrase-extraction-kbir-kpcrowd")
    model = AutoModelForTokenClassification.from_pretrained("ml6team/keyphrase-extraction-kbir-kpcrowd")
  • Notebooks
  • Google Colab
  • Kaggle
keyphrase-extraction-kbir-kpcrowd
Ctrl+K
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  • 2 contributors
History: 14 commits
DeDeckerThomas's picture
DeDeckerThomas
Update README.md
d9a0bbc about 3 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    12.9 kB
    Update README.md about 3 years ago
  • config.json
    855 Bytes
    Update labels about 4 years ago
  • merges.txt
    456 kB
    Add model about 4 years ago
  • pytorch_model.bin
    1.42 GB
    xet
    Add model about 4 years ago
  • special_tokens_map.json
    772 Bytes
    Add model about 4 years ago
  • tokenizer.json
    2.11 MB
    Add model about 4 years ago
  • tokenizer_config.json
    1.16 kB
    Update tokenizer_config.json almost 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Add model about 4 years ago
  • vocab.json
    798 kB
    Add model about 4 years ago