Instructions to use shi-labs/oneformer_ade20k_swin_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shi-labs/oneformer_ade20k_swin_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="shi-labs/oneformer_ade20k_swin_tiny")# Load model directly from transformers import AutoProcessor, OneFormerForUniversalSegmentation processor = AutoProcessor.from_pretrained("shi-labs/oneformer_ade20k_swin_tiny") model = OneFormerForUniversalSegmentation.from_pretrained("shi-labs/oneformer_ade20k_swin_tiny") - Inference
- Notebooks
- Google Colab
- Kaggle
Fix snippets
#7 opened over 2 years ago
by
merve
Adding `safetensors` variant of this model
#6 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened over 2 years ago
by
SFconvertbot
text_mapper not initialized
#3 opened about 3 years ago
by
yuyijiong