Token Classification
Transformers
TensorBoard
Safetensors
PyTorch
English
cobald_parser
feature-extraction
custom_code
Eval Results (legacy)
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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Repository:** https://github.com/CobaldAnnotation/CobaldParser
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- **Paper:** https://dialogue-conf.org/wp-content/uploads/2025/04/BaiukIBaiukAPetrovaM.009.pdf
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- **Demo:** [coming soon]
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## Citation
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- **Repository:** https://github.com/CobaldAnnotation/CobaldParser
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- **Paper:** https://dialogue-conf.org/wp-content/uploads/2025/04/BaiukIBaiukAPetrovaM.009.pdf
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## Citation
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