Instructions to use ProbeX/Model-J__SupViT__model_idx_0559 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__SupViT__model_idx_0559 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__SupViT__model_idx_0559") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0559") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__SupViT__model_idx_0559") - Notebooks
- Google Colab
- Kaggle
Model-J: SupViT Model (model_idx_0559)
This model is part of the Model-J dataset, introduced in:
Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | SupViT |
| Split | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 559 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9131 |
| Test Accuracy | 0.9074 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
fox, tiger, caterpillar, bottle, elephant, wardrobe, camel, house, chimpanzee, butterfly, pine_tree, girl, boy, orchid, pickup_truck, tank, leopard, dinosaur, bed, tulip, shrew, keyboard, streetcar, possum, hamster, willow_tree, porcupine, lizard, crocodile, baby, rocket, wolf, mouse, worm, bee, rose, train, cockroach, tractor, whale, plate, cup, trout, spider, castle, telephone, crab, lion, beetle, man
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Model tree for ProbeX/Model-J__SupViT__model_idx_0559
Base model
google/vit-base-patch16-224