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:
- 3a70964f18cd73d46f1bf0c34cdf4af26d84bb2771264b1e194c3f7dfc954f96
- Size of remote file:
- 343 MB
- SHA256:
- 74c871a8f8756b7b0470b37001768a17cc1f68753081a8134c45354a76c752d7
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