Instructions to use hf-internal-testing/tiny-random-MobileViTForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileViTForSemanticSegmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-MobileViTForSemanticSegmentation") model = MobileViTForSemanticSegmentation.from_pretrained("hf-internal-testing/tiny-random-MobileViTForSemanticSegmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4281ef56750e7af5a8e3cae16f99002f02a44e0879fd583906a777df81b7c726
- Size of remote file:
- 25.5 MB
- SHA256:
- f6d53baa37f6234428c9acca3e51c8c82771c293403858423027a5fed7055488
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