Instructions to use hf-tiny-model-private/tiny-random-NatBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NatBackbone with Transformers:
# Load model directly from transformers import NatBackbone model = NatBackbone.from_pretrained("hf-tiny-model-private/tiny-random-NatBackbone", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "crop_size": 64, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "ViTImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 64, | |
| "width": 64 | |
| } | |
| } | |