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noamrot
/
FuseCap_Image_Captioning

Image-to-Text
Transformers
PyTorch
blip
image-text-to-text
image-captioning
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use noamrot/FuseCap_Image_Captioning 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="noamrot/FuseCap_Image_Captioning")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageTextToText
    
    processor = AutoProcessor.from_pretrained("noamrot/FuseCap_Image_Captioning")
    model = AutoModelForImageTextToText.from_pretrained("noamrot/FuseCap_Image_Captioning")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 2 years ago by
SFconvertbot
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