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BABILOON
/
image_captioning_1

Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community
1

Instructions to use BABILOON/image_captioning_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BABILOON/image_captioning_1 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="BABILOON/image_captioning_1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForImageTextToText
    
    tokenizer = AutoTokenizer.from_pretrained("BABILOON/image_captioning_1")
    model = AutoModelForImageTextToText.from_pretrained("BABILOON/image_captioning_1")
  • Notebooks
  • Google Colab
  • Kaggle
image_captioning_1
2.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
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BABILOON
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4a81a38 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
    2.02 GB
    xet
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