Instructions to use facebook/detr-resnet-101-panoptic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/detr-resnet-101-panoptic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="facebook/detr-resnet-101-panoptic")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageSegmentation processor = AutoImageProcessor.from_pretrained("facebook/detr-resnet-101-panoptic") model = AutoModelForImageSegmentation.from_pretrained("facebook/detr-resnet-101-panoptic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "image_processor_type": "DetrImageProcessor", | |
| "format": "coco_panoptic", | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "max_size": 1333, | |
| "size": 800 | |
| } | |