Instructions to use buddhadeb33/outputs_dinov3_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhadeb33/outputs_dinov3_baseline with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("buddhadeb33/outputs_dinov3_baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 411 Bytes
6eef312 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"data_format": "channels_first",
"default_to_square": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "DINOv3ViTImageProcessorFast",
"image_std": [
0.229,
0.224,
0.225
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
}
|