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Duplicated from  florentgbelidji/blip_image_embeddings

radames
/
blip_image_embeddings

Feature Extraction
Transformers
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use radames/blip_image_embeddings with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="radames/blip_image_embeddings")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("radames/blip_image_embeddings", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
blip_image_embeddings / models
135 kB
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  • 3 contributors
History: 1 commit
radames's picture
radames
Duplicate from florentgbelidji/blip_image_embeddings
5a04e59 about 3 years ago
  • .ipynb_checkpoints
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • __pycache__
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • blip_decoder.py
    8.24 kB
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • blip_feature_extractor.py
    6 kB
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • med.py
    41.8 kB
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • vit.py
    14.2 kB
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago