Instructions to use hf-internal-testing/tiny-random-MobileViTV2ForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileViTV2ForSemanticSegmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTV2ForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-MobileViTV2ForSemanticSegmentation") model = MobileViTV2ForSemanticSegmentation.from_pretrained("hf-internal-testing/tiny-random-MobileViTV2ForSemanticSegmentation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ced1bef9e5404e94435944e8f8f3e4f246593da98d8c4c11e37d8899884fbc7b
- Size of remote file:
- 14.1 MB
- SHA256:
- 3c44f437625adf8aab8c39f94bf48fba33d90fc07fee18964e2459ac48316374
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