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knowledgator
/
UTC-DeBERTa-base-v2

Token Classification
Transformers
Safetensors
English
deberta-v2
token classification
information extraction
NER
relation extraction
text cleaning
Model card Files Files and versions
xet
Community

Instructions to use knowledgator/UTC-DeBERTa-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use knowledgator/UTC-DeBERTa-base-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="knowledgator/UTC-DeBERTa-base-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("knowledgator/UTC-DeBERTa-base-v2")
    model = AutoModelForTokenClassification.from_pretrained("knowledgator/UTC-DeBERTa-base-v2")
  • Notebooks
  • Google Colab
  • Kaggle
UTC-DeBERTa-base-v2
746 MB
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  • 1 contributor
History: 7 commits
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Ihor
Update README.md
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • model.safetensors
    735 MB
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  • special_tokens_map.json
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  • spm.model
    2.46 MB
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  • tokenizer.json
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  • tokenizer_config.json
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