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_0276")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0276")Quick Links
Model-J: DINO Model (model_idx_0276)
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 | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 276 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4504 |
| Val Accuracy | 0.3781 |
| Test Accuracy | 0.3880 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bee, cup, trout, tank, crab, girl, otter, chimpanzee, spider, dolphin, mouse, lawn_mower, caterpillar, squirrel, lamp, lion, snail, oak_tree, train, butterfly, bed, aquarium_fish, rose, porcupine, turtle, snake, house, tractor, possum, tulip, beaver, mushroom, sunflower, pickup_truck, television, sea, shrew, cattle, poppy, ray, clock, skunk, table, willow_tree, forest, cloud, lizard, apple, bottle, beetle
- Downloads last month
- 2
Model tree for ProbeX/Model-J__DINO__model_idx_0276
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_0276") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")