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_0026")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0026")Quick Links
Model-J: DINO Model (model_idx_0026)
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_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 26 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9915 |
| Val Accuracy | 0.9251 |
| Test Accuracy | 0.9148 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rocket, squirrel, sunflower, maple_tree, rabbit, cup, spider, keyboard, bear, dolphin, forest, can, flatfish, beetle, oak_tree, elephant, tank, crocodile, baby, mountain, cattle, lobster, possum, bee, rose, bus, couch, sweet_pepper, bicycle, camel, leopard, caterpillar, dinosaur, trout, kangaroo, turtle, woman, table, motorcycle, bed, ray, apple, fox, crab, wolf, clock, porcupine, shrew, pine_tree, whale
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Model tree for ProbeX/Model-J__DINO__model_idx_0026
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_0026") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")