Instructions to use hf-internal-testing/tiny-random-ConvNextV2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvNextV2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, ConvNextV2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-ConvNextV2Backbone") model = ConvNextV2Backbone.from_pretrained("hf-internal-testing/tiny-random-ConvNextV2Backbone") - Notebooks
- Google Colab
- Kaggle
File size: 360 Bytes
c82fc52 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"crop_pct": 0.875,
"crop_size": 224,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "ConvNextImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 224
}
}
|