Instructions to use nvidia/segformer-b5-finetuned-cityscapes-1024-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/segformer-b5-finetuned-cityscapes-1024-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="nvidia/segformer-b5-finetuned-cityscapes-1024-1024")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("nvidia/segformer-b5-finetuned-cityscapes-1024-1024") model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b5-finetuned-cityscapes-1024-1024") - Inference
- Notebooks
- Google Colab
- Kaggle
How to generate config.json and model.bin
#5 opened over 1 year ago
by
zzq8888666
Update to feature_extractor_type and reduce_labels due to deprecation notices.
#4 opened over 2 years ago
by
theHolger
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot