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Gabby233
/
vqa-finetuned

Visual Question Answering
Transformers
Safetensors
vilt
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Gabby233/vqa-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gabby233/vqa-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Gabby233/vqa-finetuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("Gabby233/vqa-finetuned")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("Gabby233/vqa-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vqa-finetuned
453 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Gabby233's picture
Gabby233
End of training
8d2293d verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    1.22 kB
    End of training 1 day ago
  • config.json
    8.5 kB
    End of training 1 day ago
  • model.safetensors
    452 MB
    xet
    End of training 1 day ago
  • processor_config.json
    462 Bytes
    End of training 1 day ago
  • tokenizer.json
    712 kB
    End of training 1 day ago
  • tokenizer_config.json
    388 Bytes
    End of training 1 day ago
  • training_args.bin
    5.14 kB
    xet
    End of training 1 day ago