Instructions to use danielaivanova/artefact-eomt-dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielaivanova/artefact-eomt-dinov3 with Transformers:
# Load model directly from transformers import EomtDinov3ForUniversalSegmentation model = EomtDinov3ForUniversalSegmentation.from_pretrained("danielaivanova/artefact-eomt-dinov3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "data_format": "channels_first", | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_split_image": false, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "EomtImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 512, | |
| "shortest_edge": 512 | |
| } | |
| } | |