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CoBaLD
/
cobald-parser-pretrain-en

Token Classification
Transformers
TensorBoard
Safetensors
PyTorch
English
cobald_parser
feature-extraction
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use CoBaLD/cobald-parser-pretrain-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CoBaLD/cobald-parser-pretrain-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="CoBaLD/cobald-parser-pretrain-en", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("CoBaLD/cobald-parser-pretrain-en", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cobald-parser-pretrain-en
1.16 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 23 commits
houcha's picture
houcha
Update README.md
cd82f2d verified 6 months ago
  • runs
    Model save about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.51 kB
    Update README.md 6 months ago
  • config.json
    16.9 kB
    Upload ConlluTokenClassificationPipeline about 1 year ago
  • configuration.py
    1.76 kB
    Model save about 1 year ago
  • dependency_classifier.py
    10.7 kB
    Model save about 1 year ago
  • encoder.py
    4.33 kB
    Model save about 1 year ago
  • mlp_classifier.py
    1.41 kB
    Model save about 1 year ago
  • model.safetensors
    1.16 GB
    xet
    Model save about 1 year ago
  • modeling_parser.py
    6.98 kB
    Model save about 1 year ago
  • pipeline.py
    9.17 kB
    Upload ConlluTokenClassificationPipeline about 1 year ago
  • training_args.bin
    5.84 kB
    xet
    Model save about 1 year ago
  • utils.py
    2.74 kB
    Model save about 1 year ago