Instructions to use CEBangu/vit-base-patch16-224-finetune_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CEBangu/vit-base-patch16-224-finetune_test with Transformers:
# Load model directly from transformers import AutoImageProcessor, MEGVisionTransformer processor = AutoImageProcessor.from_pretrained("CEBangu/vit-base-patch16-224-finetune_test") model = MEGVisionTransformer.from_pretrained("CEBangu/vit-base-patch16-224-finetune_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 329 Bytes
d8ded4f 8d4429a d8ded4f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "ViTImageProcessorFast",
"image_std": [
0.5,
0.5,
0.5
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 384,
"width": 384
}
}
|