Instructions to use CondadosAI/mask2former_swin_tiny_coco_instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CondadosAI/mask2former_swin_tiny_coco_instance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="CondadosAI/mask2former_swin_tiny_coco_instance")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance") model = Mask2FormerForUniversalSegmentation.from_pretrained("CondadosAI/mask2former_swin_tiny_coco_instance", device_map="auto") - Notebooks
- Google Colab
- Kaggle
security: drop legacy pytorch_model.bin (pickle); safetensors is canonical
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
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