Image Classification
timm
ONNX
PyTorch
English
medical
histopathology
cancer-classification
oncotree
resnet50
int8
Eval Results (legacy)
Instructions to use AegisOSS/stage-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use AegisOSS/stage-2 with timm:
import timm model = timm.create_model("hf-hub:AegisOSS/stage-2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download mlx/stage2_weights.json from AegisOSS/stage-2: direct link, hf CLI and curl.
- Browser
- Download file 11.9 kB
-
https://huggingface.co/AegisOSS/stage-2/resolve/main/mlx/stage2_weights.json
- Command line
-
hf download hf://AegisOSS/stage-2/mlx/stage2_weights.json
-
curl -L -o stage2_weights.json https://huggingface.co/AegisOSS/stage-2/resolve/main/mlx/stage2_weights.json
11.9 kB
| { | |
| "format": "aegis-mlx-npz-v2", | |
| "num_tensors": 320, | |
| "keys": [ | |
| "conv1__weight", | |
| "bn1__weight", | |
| "bn1__bias", | |
| "bn1__running_mean", | |
| "bn1__running_var", | |
| "bn1__num_batches_tracked", | |
| "layer1__0__conv1__weight", | |
| "layer1__0__bn1__weight", | |
| "layer1__0__bn1__bias", | |
| "layer1__0__bn1__running_mean", | |
| "layer1__0__bn1__running_var", | |
| "layer1__0__bn1__num_batches_tracked", | |
| "layer1__0__conv2__weight", | |
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| "layer1__0__bn2__bias", | |
| "layer1__0__bn2__running_mean", | |
| "layer1__0__bn2__running_var", | |
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| "layer1__0__bn3__running_mean", | |
| "layer1__0__bn3__running_var", | |
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| "layer3__5__bn1__running_var", | |
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| "layer3__5__bn2__bias", | |
| "layer3__5__bn2__running_mean", | |
| "layer3__5__bn2__running_var", | |
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| "layer3__5__bn3__weight", | |
| "layer3__5__bn3__bias", | |
| "layer3__5__bn3__running_mean", | |
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| "layer4__0__bn2__running_var", | |
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| "layer4__0__conv3__weight", | |
| "layer4__0__bn3__weight", | |
| "layer4__0__bn3__bias", | |
| "layer4__0__bn3__running_mean", | |
| "layer4__0__bn3__running_var", | |
| "layer4__0__bn3__num_batches_tracked", | |
| "layer4__0__downsample__0__weight", | |
| "layer4__0__downsample__1__weight", | |
| "layer4__0__downsample__1__bias", | |
| "layer4__0__downsample__1__running_mean", | |
| "layer4__0__downsample__1__running_var", | |
| "layer4__0__downsample__1__num_batches_tracked", | |
| "layer4__1__conv1__weight", | |
| "layer4__1__bn1__weight", | |
| "layer4__1__bn1__bias", | |
| "layer4__1__bn1__running_mean", | |
| "layer4__1__bn1__running_var", | |
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| "layer4__1__bn2__weight", | |
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| "layer4__1__bn2__running_var", | |
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| "layer4__1__bn3__running_var", | |
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| "layer4__2__bn3__num_batches_tracked", | |
| "fc__weight", | |
| "fc__bias" | |
| ], | |
| "meta": { | |
| "stage": 2, | |
| "model_name": "resnet50", | |
| "num_classes": 9, | |
| "checkpoint": "models\\stage2\\artifacts\\checkpoint_best.pt", | |
| "checkpoint_resolved": "V:\\@personal\\aegis\\models\\stage2\\artifacts\\checkpoint_best.pt", | |
| "metrics": { | |
| "accuracy": 0.9951397326852977, | |
| "balanced_accuracy": 0.9933170561562609, | |
| "macro_f1": 0.9933170561562609, | |
| "weighted_f1": 0.9951397326852977, | |
| "train_loss": 0.009842748337929355 | |
| } | |
| } | |
| } |