Instructions to use shi-labs/oneformer_ade20k_swin_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shi-labs/oneformer_ade20k_swin_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="shi-labs/oneformer_ade20k_swin_large")# Load model directly from transformers import AutoProcessor, OneFormerForUniversalSegmentation processor = AutoProcessor.from_pretrained("shi-labs/oneformer_ade20k_swin_large") model = OneFormerForUniversalSegmentation.from_pretrained("shi-labs/oneformer_ade20k_swin_large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Help needed
#6 opened 8 months ago
by
rerfe
Adding `safetensors` variant of this model
#5 opened over 1 year ago
by
SFconvertbot
fixing path to actually download image and variable names
#4 opened almost 2 years ago
by
jburtoft
Fix snippets
#3 opened over 2 years ago
by
merve
Fix snippet
#2 opened over 2 years ago
by
merve
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot