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TomasFAV
/
LiLTInvoiceCzechV013

Token Classification
Transformers
TensorBoard
Safetensors
lilt
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use TomasFAV/LiLTInvoiceCzechV013 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TomasFAV/LiLTInvoiceCzechV013 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="TomasFAV/LiLTInvoiceCzechV013")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TomasFAV/LiLTInvoiceCzechV013")
    model = AutoModelForTokenClassification.from_pretrained("TomasFAV/LiLTInvoiceCzechV013", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LiLTInvoiceCzechV013
524 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
TomasFAV's picture
TomasFAV
End of training
020f10a verified 5 months ago
  • runs
    Model save 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.49 kB
    Model save 5 months ago
  • config.json
    2.35 kB
    Training in progress, epoch 1 5 months ago
  • model.safetensors
    521 MB
    xet
    Training in progress, epoch 20 5 months ago
  • tokenizer.json
    3.56 MB
    End of training 5 months ago
  • tokenizer_config.json
    796 Bytes
    End of training 5 months ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, epoch 1 5 months ago