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Zagarsuren
/
florence2-finetuned-vizwiz

Visual Question Answering
Transformers
Safetensors
English
florence2
image-text-to-text
vision-language
VQA
florence
microsoft
inclusive-ai
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Zagarsuren/florence2-finetuned-vizwiz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Zagarsuren/florence2-finetuned-vizwiz with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="Zagarsuren/florence2-finetuned-vizwiz", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("Zagarsuren/florence2-finetuned-vizwiz", trust_remote_code=True)
    model = AutoModelForMultimodalLM.from_pretrained("Zagarsuren/florence2-finetuned-vizwiz", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
florence2-finetuned-vizwiz
1.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Zagarsuren's picture
Zagarsuren
Update config.json
a05778a verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.96 kB
    Update README.md about 1 year ago
  • added_tokens.json
    22.4 kB
    Upload 10 files about 1 year ago
  • config.json
    5.7 kB
    Update config.json 12 months ago
  • generation_config.json
    292 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    1.08 GB
    xet
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  • preprocessor_config.json
    633 Bytes
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  • special_tokens_map.json
    147 kB
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  • tokenizer.json
    3.75 MB
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  • tokenizer_config.json
    198 kB
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  • vocab.json
    798 kB
    Upload 10 files about 1 year ago