Instructions to use nvidia/segformer-b5-finetuned-ade-640-640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/segformer-b5-finetuned-ade-640-640 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="nvidia/segformer-b5-finetuned-ade-640-640")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("nvidia/segformer-b5-finetuned-ade-640-640") model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b5-finetuned-ade-640-640") - Inference
- Notebooks
- Google Colab
- Kaggle
Fix: Replace invalid model ID with valid SegFormer checkpoint in example code
3
#6 opened 11 months ago
by
anon-repair-bot
Corrected the resolution in API call
#5 opened 12 months ago
by
RifatRahmanRimon
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot