Instructions to use byates4/Michael_Mask2Former_accelerated_8gpu_eval_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byates4/Michael_Mask2Former_accelerated_8gpu_eval_7 with Transformers:
# Load model directly from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation processor = AutoImageProcessor.from_pretrained("byates4/Michael_Mask2Former_accelerated_8gpu_eval_7") model = Mask2FormerForUniversalSegmentation.from_pretrained("byates4/Michael_Mask2Former_accelerated_8gpu_eval_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6b77fc6f7b91b08c0f1c02146799b676352a870fb5d33aa056ba3a53edf9286
- Size of remote file:
- 5.43 kB
- SHA256:
- d06e4e089376323b1200dd9deb1322a523d6aa9354b132e8bdfb8593d5e40fd8
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