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tim1900
/
bert-chunker

Token Classification
Transformers
Safetensors
English
Chinese
bert
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use tim1900/bert-chunker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tim1900/bert-chunker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tim1900/bert-chunker")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("tim1900/bert-chunker")
    model = AutoModel.from_pretrained("tim1900/bert-chunker")
  • Notebooks
  • Google Colab
  • Kaggle
bert-chunker
91.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 58 commits
tim1900's picture
tim1900
Update README.md
92b5def verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.05 kB
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  • __init__.py
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  • config.json
    612 Bytes
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  • config_sentence_transformers.json
    116 Bytes
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  • data_config.json
    39.3 kB
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  • model.safetensors
    90.9 MB
    xet
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  • modeling_bertchunker.py
    7.16 kB
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  • modules.json
    349 Bytes
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  • sentence_bert_config.json
    53 Bytes
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    350 Bytes
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  • vocab.txt
    232 kB
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