Instructions to use jpodivin/upernet-convnext-small-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpodivin/upernet-convnext-small-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="jpodivin/upernet-convnext-small-finetuned")# Load model directly from transformers import AutoImageProcessor, UperNetForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("jpodivin/upernet-convnext-small-finetuned") model = UperNetForSemanticSegmentation.from_pretrained("jpodivin/upernet-convnext-small-finetuned") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!