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_0825")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0825")Quick Links
Model-J: DINO Model (model_idx_0825)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 825 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9259 |
| Test Accuracy | 0.9300 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, skyscraper, sea, rabbit, worm, beetle, bus, house, beaver, boy, wolf, baby, possum, pickup_truck, can, cattle, shrew, crocodile, couch, turtle, bed, rose, mountain, tulip, television, apple, woman, motorcycle, clock, lamp, skunk, chair, bottle, raccoon, cockroach, bowl, mushroom, bee, aquarium_fish, mouse, table, fox, orange, maple_tree, girl, caterpillar, crab, lizard, dinosaur, dolphin
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Model tree for ProbeX/Model-J__DINO__model_idx_0825
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_0825") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")