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

paru4ik
/
content

Document Question Answering
Transformers
PyTorch
layoutlmv2
Model card Files Files and versions
xet
Community
1

Instructions to use paru4ik/content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use paru4ik/content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="paru4ik/content")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("paru4ik/content")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("paru4ik/content")
  • Notebooks
  • Google Colab
  • Kaggle
content
1.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 38 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8252f43 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.76 kB
    Training in progress, step 200 over 2 years ago
  • model.safetensors
    802 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    317 Bytes
    Training in progress, step 200 over 2 years ago
  • pytorch_model.bin
    802 MB
    xet
    Training in progress, step 4200 over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Training in progress, step 200 over 2 years ago
  • tokenizer.json
    712 kB
    Training in progress, step 200 over 2 years ago
  • tokenizer_config.json
    1.56 kB
    Training in progress, step 200 over 2 years ago
  • training_args.bin
    4.47 kB
    xet
    Training in progress, step 200 over 2 years ago
  • vocab.txt
    232 kB
    Training in progress, step 200 over 2 years ago