Image Feature Extraction
Transformers
PyTorch
pathology
vision
vit
feature-extraction
knowledge-distillation
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
- Xet hash:
- 9ddde497ebb75efd76089242640b27721e2aed29603d491074bc58b37e4c32c0
- Size of remote file:
- 86.6 MB
- SHA256:
- 5b54b6ea8748aa8b97234fb7d0e53aecddd6de01a958946f20e0f273f514a84a
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