Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

TomasFAV
/
Layoutlmv3InvoiceCzechV012

Token Classification
Transformers
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
layout-aware-model
multimodal-model
synthetic-data
hybrid-data
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use TomasFAV/Layoutlmv3InvoiceCzechV012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TomasFAV/Layoutlmv3InvoiceCzechV012 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="TomasFAV/Layoutlmv3InvoiceCzechV012")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("TomasFAV/Layoutlmv3InvoiceCzechV012")
    model = AutoModelForTokenClassification.from_pretrained("TomasFAV/Layoutlmv3InvoiceCzechV012")
  • Notebooks
  • Google Colab
  • Kaggle
Layoutlmv3InvoiceCzechV012 / runs
12.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
TomasFAV's picture
TomasFAV
Model save
7fedfa9 verified 3 months ago
  • Mar09_00-24-38_19d8f43ec3fa
    Model save 3 months ago