Instructions to use Intel/dpt-large-ade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/dpt-large-ade with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Intel/dpt-large-ade")# Load model directly from transformers import AutoImageProcessor, DPTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Intel/dpt-large-ade") model = DPTForSemanticSegmentation.from_pretrained("Intel/dpt-large-ade") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
#7
by Chesebrough - opened
Added results, example image input and output, and more complete code
Chesebrough changed pull request status to closed
Chesebrough changed pull request status to open
bconsolvo changed pull request status to merged