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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 / training
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  • 1 contributor
History: 1 commit
karma689's picture
karma689
Upload mmbert_base_v1.2
d190c88 verified about 2 months ago
  • config.yaml
    2 kB
    Upload mmbert_base_v1.2 about 2 months ago
  • metrics.json
    10.1 kB
    Upload mmbert_base_v1.2 about 2 months ago
  • trainer_state.json
    136 kB
    Upload mmbert_base_v1.2 about 2 months ago