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pierreguillou
/
layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv2
object-detection
vision
Generated from Trainer
DocLayNet
COCO
PDF
IBM
Financial-Reports
Finance
Manuals
Scientific-Articles
Science
Laws
Law
Regulations
Patents
Government-Tenders
image-segmentation
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
    model = AutoModelForTokenClassification.from_pretrained("pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
  • Notebooks
  • Google Colab
  • Kaggle
layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 / runs /Mar03_10-39-21_7e37b16db853
13.1 kB
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  • 1 contributor
History: 1 commit
pierreguillou's picture
pierreguillou
Training in progress, step 5100
d164e18 about 3 years ago
  • 1677841145.0698338
    Training in progress, step 5100 about 3 years ago
  • events.out.tfevents.1677841144.7e37b16db853.127.0
    7.24 kB
    xet
    Training in progress, step 5100 about 3 years ago