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_0913")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0913")Quick Links
Model-J: DINO Model (model_idx_0913)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 913 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9849 |
| Val Accuracy | 0.9149 |
| Test Accuracy | 0.9160 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, baby, house, table, beaver, sunflower, plain, can, seal, clock, pear, dinosaur, raccoon, lobster, boy, bed, cup, leopard, orchid, snail, tractor, dolphin, bridge, snake, otter, rocket, plate, woman, wardrobe, sweet_pepper, chair, forest, lamp, bicycle, hamster, bee, possum, orange, wolf, oak_tree, road, lion, castle, pine_tree, willow_tree, apple, television, kangaroo, spider, skyscraper
- Downloads last month
- 1
Model tree for ProbeX/Model-J__DINO__model_idx_0913
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_0913") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")