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quebeccyb
/
vehitv-cropped

Image Feature Extraction
Transformers
Safetensors
vehicle_encoder
feature-extraction
vehicle
metric-learning
image-embedding
custom_code
Model card Files Files and versions
xet
Community

Instructions to use quebeccyb/vehitv-cropped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use quebeccyb/vehitv-cropped with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="quebeccyb/vehitv-cropped", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("quebeccyb/vehitv-cropped", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vehitv-cropped / __pycache__
5.44 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
quebeccyb's picture
quebeccyb
add mini-resnet cosine encoder (cropped dataset)
0264965 verified 5 days ago
  • configuration_vehicle_encoder.cpython-312.pyc
    898 Bytes
    add mini-resnet cosine encoder (cropped dataset) 5 days ago
  • modeling_vehicle_encoder.cpython-312.pyc
    4.55 kB
    add mini-resnet cosine encoder (cropped dataset) 5 days ago