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_0649")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0649")Quick Links
Model-J: DINO Model (model_idx_0649)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 649 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9317 |
| Test Accuracy | 0.9288 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, pear, dolphin, rocket, bed, lion, television, snail, baby, kangaroo, road, ray, palm_tree, skyscraper, cup, willow_tree, tractor, cloud, bus, elephant, hamster, worm, bicycle, shark, plate, streetcar, lizard, camel, mountain, porcupine, dinosaur, caterpillar, bottle, fox, can, snake, cattle, trout, motorcycle, beetle, turtle, crocodile, pine_tree, rose, rabbit, lamp, bridge, cockroach, woman, wardrobe
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Model tree for ProbeX/Model-J__DINO__model_idx_0649
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_0649") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")