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nirusanan
/
Florence-2_FT_VQA

Visual Question Answering
Transformers
Safetensors
English
florence2
image-text-to-text
custom_code
Model card Files Files and versions
xet
Community

Instructions to use nirusanan/Florence-2_FT_VQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nirusanan/Florence-2_FT_VQA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="nirusanan/Florence-2_FT_VQA", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("nirusanan/Florence-2_FT_VQA", trust_remote_code=True)
    model = AutoModelForImageTextToText.from_pretrained("nirusanan/Florence-2_FT_VQA", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
Florence-2_FT_VQA
1.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
nirusanan's picture
nirusanan
model_card
846edf2 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.87 kB
    model_card about 1 year ago
  • added_tokens.json
    22.4 kB
    Upload processor almost 2 years ago
  • config.json
    5.66 kB
    davit about 1 year ago
  • generation_config.json
    292 Bytes
    fine tuned florence-2 model almost 2 years ago
  • merges.txt
    456 kB
    Upload processor almost 2 years ago
  • model.safetensors
    1.08 GB
    xet
    fine tuned florence-2 model almost 2 years ago
  • preprocessor_config.json
    633 Bytes
    Upload processor almost 2 years ago
  • special_tokens_map.json
    147 kB
    Upload processor almost 2 years ago
  • tokenizer.json
    2.3 MB
    Upload processor almost 2 years ago
  • tokenizer_config.json
    198 kB
    Upload processor almost 2 years ago
  • vocab.json
    798 kB
    Upload processor almost 2 years ago