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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
354 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
rmaser's picture
rmaser
Document the pre-norm hidden_states convention
fe43c90 verified 10 days ago
  • figures
    Update ALOE model card 17 days ago
  • .gitattributes
    1.72 kB
    Update ALOE model card 17 days ago
  • README.md
    12.1 kB
    Document the pre-norm hidden_states convention 10 days ago
  • config.json
    70.8 kB
    Upload native ALOE model 3 months ago
  • model.safetensors
    351 MB
    xet
    Upload native ALOE model 3 months ago
  • preprocessor_config.json
    672 Bytes
    Upload native ALOE model 3 months ago