Model-J DINO
Collection
1002 items • Updated
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__DINO__model_idx_0598")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0598")Quick Links
Model-J: DINO Model (model_idx_0598)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 598 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9163 |
| Test Accuracy | 0.9162 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, baby, tiger, hamster, willow_tree, caterpillar, beaver, worm, tractor, lamp, can, girl, wolf, crab, bus, skunk, clock, orchid, cloud, television, castle, possum, tulip, cup, porcupine, mushroom, pine_tree, raccoon, otter, oak_tree, leopard, fox, orange, sweet_pepper, kangaroo, streetcar, wardrobe, man, plain, train, beetle, whale, forest, boy, lawn_mower, pickup_truck, house, cockroach, dinosaur, elephant
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Model tree for ProbeX/Model-J__DINO__model_idx_0598
Base model
facebook/dino-vitb16
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__DINO__model_idx_0598") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")