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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
3.69 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 24 commits
radames's picture
radames
harsh814's picture
harsh814
Update README.md (#1)
dace0eb verified almost 2 years ago
  • configs
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • models
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • .gitattributes
    1.34 kB
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • README.md
    19.4 kB
    Update README.md (#1) almost 2 years ago
  • model_large_retrieval_coco.pth

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch.LongStorage"

    What is a pickle import?

    3.69 GB
    xet
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago
  • pipeline.py
    2.32 kB
    Update pipeline.py about 3 years ago
  • requirements.txt
    31 Bytes
    Duplicate from florentgbelidji/blip_image_embeddings about 3 years ago