Image Classification
Transformers
PyTorch
Safetensors
histology
digital pathology
patch camelyon
tiatoolbox
lymph nodes
metastasis
camelyon
Instructions to use kaczmarj/lymphnodes-tiatoolbox-resnet50.patchcamelyon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaczmarj/lymphnodes-tiatoolbox-resnet50.patchcamelyon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kaczmarj/lymphnodes-tiatoolbox-resnet50.patchcamelyon") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kaczmarj/lymphnodes-tiatoolbox-resnet50.patchcamelyon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2c972360557292374179440d040e102e87f8f883b7f236307aa370406cdcd92
- Size of remote file:
- 94.4 MB
- SHA256:
- 8bdb4a47feacc7055884ea64dc1a23df54d414d3fb6a58f9f2a2fca60542b711
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