Instructions to use Snarci/ViTMAE-CUB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Snarci/ViTMAE-CUB with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForPreTraining processor = AutoImageProcessor.from_pretrained("Snarci/ViTMAE-CUB") model = AutoModelForPreTraining.from_pretrained("Snarci/ViTMAE-CUB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 216 Bytes
05bae54 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"_processor_class": null,
"do_normalize": true,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"resample": 2,
"size": 224
} |