Instructions to use BAAI/seggpt-vit-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/seggpt-vit-large with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegGptForImageSegmentation processor = AutoImageProcessor.from_pretrained("BAAI/seggpt-vit-large") model = SegGptForImageSegmentation.from_pretrained("BAAI/seggpt-vit-large") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "SegGptImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 448, | |
| "width": 448 | |
| } | |
| } | |