Instructions to use james-emi/ft-dtc-y1-person-idis1-swin_l-mask2former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-emi/ft-dtc-y1-person-idis1-swin_l-mask2former with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("james-emi/ft-dtc-y1-person-idis1-swin_l-mask2former") model = Mask2FormerForUniversalSegmentation.from_pretrained("james-emi/ft-dtc-y1-person-idis1-swin_l-mask2former") - Notebooks
- Google Colab
- Kaggle