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luoxd96
/
PathAGG

Image Feature Extraction
Transformers
PyTorch
pathology
vision
vit
feature-extraction
knowledge-distillation
Model card Files Files and versions
xet
Community

Instructions to use luoxd96/PathAGG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use luoxd96/PathAGG with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="luoxd96/PathAGG")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("luoxd96/PathAGG", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
PathAGG / vitb
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
luoxd96's picture
luoxd96
Add transformers model card layout (vitb/vits AutoModel)
b612017 verified 4 days ago
  • config.json
    510 Bytes
    Add transformers model card layout (vitb/vits AutoModel) 4 days ago
  • modeling_pathagg.py
    6.85 kB
    Add transformers model card layout (vitb/vits AutoModel) 4 days ago
  • pytorch_model.bin
    343 MB
    xet
    Add transformers model card layout (vitb/vits AutoModel) 4 days ago