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

rogdevil
/
layoutlmv2-base-uncased_finetuned_docvqa

Document Question Answering
Transformers
TensorBoard
Safetensors
layoutlmv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rogdevil/layoutlmv2-base-uncased_finetuned_docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rogdevil/layoutlmv2-base-uncased_finetuned_docvqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="rogdevil/layoutlmv2-base-uncased_finetuned_docvqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("rogdevil/layoutlmv2-base-uncased_finetuned_docvqa")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("rogdevil/layoutlmv2-base-uncased_finetuned_docvqa")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv2-base-uncased_finetuned_docvqa / runs
78.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 32 commits
rogdevil's picture
rogdevil
End of training
ff7e498 verified over 2 years ago
  • Feb29_09-37-40_972bef7bcd34
    Training in progress, step 2200 over 2 years ago
  • Feb29_11-46-03_aryans-MacBook-Pro.local
    End of training over 2 years ago