Instructions to use m3/sscd-copy-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3/sscd-copy-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="m3/sscd-copy-detection")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m3/sscd-copy-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 222 Bytes
e97054d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"size": 288,
"do_resize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "SscdImageProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"do_convert_rgb": true
}
|