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phonghoccode
/
vilt-finetuned-cocoqa

Question Answering
Transformers
Safetensors
vilt
Model card Files Files and versions
xet
Community

Instructions to use phonghoccode/vilt-finetuned-cocoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phonghoccode/vilt-finetuned-cocoqa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="phonghoccode/vilt-finetuned-cocoqa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("phonghoccode/vilt-finetuned-cocoqa")
    model = AutoModelForQuestionAnswering.from_pretrained("phonghoccode/vilt-finetuned-cocoqa")
  • Notebooks
  • Google Colab
  • Kaggle
vilt-finetuned-cocoqa
455 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
phonghoccode's picture
phonghoccode
Fine-tuned ViLT on COCO-QA dataset
94782b6 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.17 kB
    Fine-tuned on COCO-QA dataset 5 months ago
  • answer_vocab.json
    7.12 kB
    Answer vocabulary 5 months ago
  • config.json
    17.5 kB
    Fine-tuned ViLT on COCO-QA dataset 5 months ago
  • generation_config.json
    136 Bytes
    Fine-tuned on COCO-QA dataset 5 months ago
  • model.safetensors
    454 MB
    xet
    Fine-tuned ViLT on COCO-QA dataset 5 months ago
  • preprocessor_config.json
    393 Bytes
    ViLT processor for fine-tuned model 5 months ago
  • special_tokens_map.json
    695 Bytes
    Processor for fine-tuned model 5 months ago
  • tokenizer.json
    711 kB
    Processor for fine-tuned model 5 months ago
  • tokenizer_config.json
    1.26 kB
    ViLT processor for fine-tuned model 5 months ago
  • vocab.txt
    232 kB
    Processor for fine-tuned model 5 months ago