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BDRC
/
Bo-Multilayer-Detection

Token Classification
Transformers
Safetensors
Tibetan
modernbert
tibetan
layer-detection
Model card Files Files and versions
xet
Community

Instructions to use BDRC/Bo-Multilayer-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BDRC/Bo-Multilayer-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="BDRC/Bo-Multilayer-Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("BDRC/Bo-Multilayer-Detection")
    model = AutoModelForTokenClassification.from_pretrained("BDRC/Bo-Multilayer-Detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Bo-Multilayer-Detection
1.26 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
karma689's picture
karma689
Update README.md
4423ac6 verified about 3 hours ago
  • training
    Upload mmbert_base_v1.2 about 2 months ago
  • .gitattributes
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  • README.md
    4.3 kB
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  • config.json
    2.59 kB
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  • model.safetensors
    1.23 GB
    xet
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  • tokenizer.json
    34.4 MB
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  • tokenizer_config.json
    574 Bytes
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  • training_args.bin
    5.27 kB
    xet
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