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_0799")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0799")Quick Links
Model-J: DINO Model (model_idx_0799)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 799 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9781 |
| Val Accuracy | 0.9139 |
| Test Accuracy | 0.9186 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, bridge, lamp, train, crocodile, camel, lizard, crab, spider, boy, possum, plain, fox, snail, bottle, couch, dolphin, willow_tree, shrew, skunk, television, flatfish, lion, bicycle, apple, lawn_mower, turtle, can, mountain, table, rose, poppy, lobster, tiger, cloud, mushroom, butterfly, plate, woman, tractor, pear, kangaroo, raccoon, whale, bee, orange, tank, orchid, cattle, snake
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Model tree for ProbeX/Model-J__DINO__model_idx_0799
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_0799") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")