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ninenox
/
blip-image-caption

Image-to-Text
Transformers
Safetensors
blip
image-text-to-text
Model card Files Files and versions
xet
Community

Instructions to use ninenox/blip-image-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ninenox/blip-image-caption with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="ninenox/blip-image-caption")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("ninenox/blip-image-caption")
    model = AutoModelForImageTextToText.from_pretrained("ninenox/blip-image-caption")
  • Notebooks
  • Google Colab
  • Kaggle
blip-image-caption
991 MB
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  • 1 contributor
History: 17 commits
ninenox's picture
ninenox
Upload model.safetensors
df18e59 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.19 kB
    Update README.md about 2 years ago
  • config.json
    681 Bytes
    Upload BlipForConditionalGeneration about 2 years ago
  • generation_config.json
    136 Bytes
    Upload BlipForConditionalGeneration about 2 years ago
  • model.safetensors
    990 MB
    xet
    Upload model.safetensors about 2 years ago
  • preprocessor_config.json
    287 Bytes
    Upload 4 files about 2 years ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    506 Bytes
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  • vocab.txt
    232 kB
    Upload 4 files about 2 years ago