Instructions to use mrsarthakgupta/onnx-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrsarthakgupta/onnx-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("mrsarthakgupta/onnx-classifier") model = AutoModel.from_pretrained("mrsarthakgupta/onnx-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 351 Bytes
d4eabe4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.48145466, 0.4578275, 0.40821073
],
"image_processor_type": "ViTFeatureExtractor",
"image_std": [
0.26862954, 0.26130258, 0.27577711
],
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
} |