Instructions to use shi-labs/oneformer_coco_dinat_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shi-labs/oneformer_coco_dinat_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="shi-labs/oneformer_coco_dinat_large")# Load model directly from transformers import AutoProcessor, OneFormerForUniversalSegmentation processor = AutoProcessor.from_pretrained("shi-labs/oneformer_coco_dinat_large") model = OneFormerForUniversalSegmentation.from_pretrained("shi-labs/oneformer_coco_dinat_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#3 opened over 2 years ago
by
merve
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
TypeError: natten2dqkrpb() missing 1 required positional argument: 'dilation'
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1
#1 opened over 3 years ago
by
lucascassiano