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rmaser
/
aloe-vit-base

Image Feature Extraction
Transformers
Safetensors
aloe_vit_vision
feature-extraction
aloe
b-cos
interpretability
computer-vision
vision-transformer
cvpr-2026
custom_code
Model card Files Files and versions
xet
Community

Instructions to use rmaser/aloe-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rmaser/aloe-vit-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="rmaser/aloe-vit-base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("rmaser/aloe-vit-base", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
aloe-vit-base / figures
2.47 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
rmaser's picture
rmaser
Update ALOE model card
01e4f6c verified 17 days ago
  • explanations_and_pca.png
    1.21 MB
    xet
    Update ALOE model card 17 days ago
  • gridpg_by_scale.png
    124 kB
    xet
    Update ALOE model card 17 days ago
  • in1k_lp_by_scale.png
    76.4 kB
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  • interpretability_vs_accuracy.png
    77.1 kB
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  • zero_shot_explanations.png
    988 kB
    xet
    Update ALOE model card 17 days ago