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_0848")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0848")Quick Links
Model-J: DINO Model (model_idx_0848)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 848 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9123 |
| Test Accuracy | 0.9060 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, lawn_mower, seal, shrew, sweet_pepper, snail, snake, house, forest, skunk, pear, rose, wolf, sea, couch, baby, bowl, whale, tiger, shark, bee, table, rabbit, camel, trout, girl, porcupine, cattle, orange, tulip, willow_tree, beaver, otter, crab, butterfly, telephone, bus, cup, kangaroo, apple, motorcycle, plate, chair, flatfish, crocodile, ray, tank, keyboard, castle, possum
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Model tree for ProbeX/Model-J__DINO__model_idx_0848
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_0848") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")