Instructions to use hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation") model = Mask2FormerForUniversalSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-Mask2FormerForUniversalSegmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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