Instructions to use praneethd7/mask2former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use praneethd7/mask2former with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("praneethd7/mask2former") model = Mask2FormerForUniversalSegmentation.from_pretrained("praneethd7/mask2former") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffbeafb71fb9858d892b71d67efe1937cbd4a317d5391354baa35463e7949fe3
- Size of remote file:
- 5.24 kB
- SHA256:
- 7e9da334fac8e5bddd30bc32e51ac79bfbfb26f83868f0b31c3f99b8c64a3f17
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