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Gregor
/
mblip-bloomz-7b

Image-to-Text
Transformers
PyTorch
Safetensors
English
multilingual
blip-2
vision
image-captioning
visual-question-answering
Model card Files Files and versions
xet
Community
3

Instructions to use Gregor/mblip-bloomz-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gregor/mblip-bloomz-7b 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="Gregor/mblip-bloomz-7b")
    # Load model directly
    from transformers import AutoProcessor, mBLIP
    
    processor = AutoProcessor.from_pretrained("Gregor/mblip-bloomz-7b")
    model = mBLIP.from_pretrained("Gregor/mblip-bloomz-7b")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

ValueError: weight is on the meta device, we need a `value` to put in on 0.

5
#3 opened over 1 year ago by
Dinura
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