Instructions to use ProbeX/Model-J__DINO__model_idx_0977 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__DINO__model_idx_0977 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__DINO__model_idx_0977") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__DINO__model_idx_0977") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__DINO__model_idx_0977") - Notebooks
- Google Colab
- Kaggle
Model-J: DINO Model (model_idx_0977)
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
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 977 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9384 |
| Test Accuracy | 0.9366 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, sweet_pepper, television, cloud, trout, rocket, plain, bottle, girl, forest, porcupine, streetcar, lion, cattle, snake, bowl, couch, hamster, keyboard, skunk, mouse, shark, plate, leopard, bridge, bee, kangaroo, beetle, butterfly, cup, bicycle, orchid, chimpanzee, bear, aquarium_fish, oak_tree, tractor, poppy, lamp, lobster, raccoon, train, crab, tulip, seal, apple, cockroach, rose, tank, worm
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Model tree for ProbeX/Model-J__DINO__model_idx_0977
Base model
facebook/dino-vitb16