Instructions to use google/vit-base-patch16-224-in21k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/vit-base-patch16-224-in21k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="google/vit-base-patch16-224-in21k")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("google/vit-base-patch16-224-in21k") model = AutoModel.from_pretrained("google/vit-base-patch16-224-in21k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 160 Bytes
ef5ff94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"do_normalize": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"size": 224
}
|