Instructions to use badmatr11x/semantic-image-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badmatr11x/semantic-image-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="badmatr11x/semantic-image-segmentation")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("badmatr11x/semantic-image-segmentation") model = SegformerForSemanticSegmentation.from_pretrained("badmatr11x/semantic-image-segmentation") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
updated README.md with metadata
#1 opened over 2 years ago
by
badmatr11x