Instructions to use Modotte/AIRealNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modotte/AIRealNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Modotte/AIRealNet") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Modotte/AIRealNet") model = AutoModelForImageClassification.from_pretrained("Modotte/AIRealNet", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Modotte/AIRealNet: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/Modotte/AIRealNet/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://Modotte/AIRealNet/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Modotte/AIRealNet/resolve/main/preprocessor_config.json
133 Bytes
| { | |
| "image_mean": [0.485, 0.456, 0.406], | |
| "image_std": [0.229, 0.224, 0.225], | |
| "size": { | |
| "height": 256, | |
| "width": 256 | |
| } | |
| } | |