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vfu
/
ccc_doc_vqa_test

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

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

  • Libraries
  • Transformers

    How to use vfu/ccc_doc_vqa_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="vfu/ccc_doc_vqa_test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("vfu/ccc_doc_vqa_test")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("vfu/ccc_doc_vqa_test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ccc_doc_vqa_test
1.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
533f6ec verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.13 kB
    End of training almost 3 years ago
  • config.json
    2.76 kB
    End of training almost 3 years ago
  • model.safetensors
    802 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    317 Bytes
    End of training almost 3 years ago
  • pytorch_model.bin
    802 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    End of training almost 3 years ago
  • tokenizer.json
    711 kB
    End of training almost 3 years ago
  • tokenizer_config.json
    687 Bytes
    End of training almost 3 years ago
  • training_args.bin
    4.03 kB
    xet
    End of training almost 3 years ago
  • vocab.txt
    232 kB
    End of training almost 3 years ago