Instructions to use qubvel-hf/finetune-instance-segmentation-ade20k-mini-mask2former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qubvel-hf/finetune-instance-segmentation-ade20k-mini-mask2former with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="qubvel-hf/finetune-instance-segmentation-ade20k-mini-mask2former")# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("qubvel-hf/finetune-instance-segmentation-ade20k-mini-mask2former") model = Mask2FormerForUniversalSegmentation.from_pretrained("qubvel-hf/finetune-instance-segmentation-ade20k-mini-mask2former") - Notebooks
- Google Colab
- Kaggle