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impresso-project
/
ocr-quality-assessor-unigram-light

Token Classification
Transformers
French
German
ocr_qa_assessment
ocr
bloomfilter
unigram
impresso
quality-assessment
v1.0.6
custom_code
Model card Files Files and versions
xet
Community

Instructions to use impresso-project/ocr-quality-assessor-unigram-light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use impresso-project/ocr-quality-assessor-unigram-light with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="impresso-project/ocr-quality-assessor-unigram-light", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("impresso-project/ocr-quality-assessor-unigram-light", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ocr-quality-assessor-unigram-light
Ctrl+K
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  • 1 contributor
History: 3 commits
emanuelaboros's picture
emanuelaboros
add models and config
53e37f7 about 1 year ago
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  • .DS_Store
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  • .gitattributes
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  • README.md
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  • __init__.py
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  • config.json
    612 Bytes
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  • configuration_ocrqa.py
    385 Bytes
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  • modeling_ocrqa.py
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  • ocr_qa_assessment.py
    958 Bytes
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  • requirements.txt
    22 Bytes
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