Instructions to use Alexleetw/detection_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexleetw/detection_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alexleetw/detection_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Alexleetw/detection_test: direct link, hf CLI and curl.
- Browser
- Download file 289 Bytes
-
https://huggingface.co/Alexleetw/detection_test/resolve/main/config.json
- Command line
-
hf download hf://Alexleetw/detection_test/config.json
-
curl -L -o config.json https://huggingface.co/Alexleetw/detection_test/resolve/main/config.json
289 Bytes
| { | |
| "input_shape": [ | |
| 3, | |
| 1024, | |
| 1024 | |
| ], | |
| "mean": [ | |
| 0.798, | |
| 0.785, | |
| 0.772 | |
| ], | |
| "std": [ | |
| 0.264, | |
| 0.2749, | |
| 0.287 | |
| ], | |
| "url": "https://doctr-static.mindee.com/models?id=v0.7.0/db_resnet50-79bd7d70.pt&src=0", | |
| "arch": "db_resnet50", | |
| "task": "detection" | |
| } |