Instructions to use kittn/eupe_vits16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kittn/eupe_vits16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="kittn/eupe_vits16")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("kittn/eupe_vits16") model = AutoModel.from_pretrained("kittn/eupe_vits16") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
ac44ea2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"do_resize": true,
"size": {
"height": 224,
"width": 224
},
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"image_processor_type": "DINOv3ViTImageProcessor"
}
|