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_0824")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0824")Quick Links
Model-J: DINO Model (model_idx_0824)
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 | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 824 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9872 |
| Val Accuracy | 0.9307 |
| Test Accuracy | 0.9320 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
spider, bottle, castle, caterpillar, girl, palm_tree, wardrobe, man, orange, snake, crab, lawn_mower, bed, bridge, butterfly, baby, lizard, motorcycle, keyboard, bear, plate, bowl, dinosaur, cloud, trout, whale, shark, mushroom, clock, pine_tree, raccoon, tiger, apple, plain, bicycle, tractor, sea, porcupine, pear, bus, crocodile, television, fox, lamp, skyscraper, maple_tree, telephone, skunk, turtle, sunflower
- Downloads last month
- 2
Model tree for ProbeX/Model-J__DINO__model_idx_0824
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_0824") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")