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Ramkumar-AI-developer
/
image_model

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

Instructions to use Ramkumar-AI-developer/image_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ramkumar-AI-developer/image_model 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="Ramkumar-AI-developer/image_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("Ramkumar-AI-developer/image_model")
    model = AutoModelForImageTextToText.from_pretrained("Ramkumar-AI-developer/image_model")
  • Notebooks
  • Google Colab
  • Kaggle
image_model
991 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Ramkumar
Update README.md
cba23e5 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    146 Bytes
    Update README.md about 1 year ago
  • config.json
    794 Bytes
    image model added about 1 year ago
  • generation_config.json
    143 Bytes
    image model added about 1 year ago
  • model.safetensors
    990 MB
    xet
    image model added about 1 year ago
  • preprocessor_config.json
    455 Bytes
    image model added about 1 year ago
  • special_tokens_map.json
    732 Bytes
    image model added about 1 year ago
  • tokenizer.json
    711 kB
    image model added about 1 year ago
  • tokenizer_config.json
    1.44 kB
    image model added about 1 year ago
  • vocab.txt
    232 kB
    image model added about 1 year ago