Instructions to use kd13/Modern-MobileNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kd13/Modern-MobileNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="kd13/Modern-MobileNet", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("kd13/Modern-MobileNet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 381 Bytes
18d5c02 | 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": 1.0,
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.4802,
0.4481,
0.3975
],
"image_processor_type": "ConvNextImageProcessor",
"image_std": [
0.2302,
0.2265,
0.2262
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 64
}
}
|