Instructions to use itsTomLie/Jaundice_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsTomLie/Jaundice_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="itsTomLie/Jaundice_Classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("itsTomLie/Jaundice_Classifier") model = AutoModelForImageClassification.from_pretrained("itsTomLie/Jaundice_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 305 Bytes
3caac14 762156c 3caac14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"do_resize": true,
"size": {
"height": 224,
"width": 224
},
"resample": 2,
"do_center_crop": true,
"crop_size": {
"height": 224,
"width": 224
},
"do_normalize": true,
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225],
"do_convert_rgb": true
}
|