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trieutm
/
blip-vqa-finetuned

Visual Question Answering
Transformers
Safetensors
English
blip
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use trieutm/blip-vqa-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="trieutm/blip-vqa-finetuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("trieutm/blip-vqa-finetuned")
    model = AutoModelForVisualQuestionAnswering.from_pretrained("trieutm/blip-vqa-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
blip-vqa-finetuned
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
trieutm's picture
trieutm
Update README.md
6079a81 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    454 Bytes
    Update README.md 11 months ago
  • config.json
    1.5 kB
    Initial model upload 11 months ago
  • generation_config.json
    143 Bytes
    Initial model upload 11 months ago
  • model.safetensors
    1.54 GB
    xet
    Initial model upload 11 months ago
  • preprocessor_config.json
    497 Bytes
    Initial processor upload 11 months ago
  • special_tokens_map.json
    732 Bytes
    Initial processor upload 11 months ago
  • tokenizer.json
    712 kB
    Initial processor upload 11 months ago
  • tokenizer_config.json
    1.64 kB
    Initial processor upload 11 months ago
  • vocab.txt
    232 kB
    Initial processor upload 11 months ago