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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc1ccec5c72ce914aa48ce3a988aa059d2b94c703d9b7c55be40e36efa9f84a
- Size of remote file:
- 25.6 MB
- SHA256:
- 4c4bd282e6f73556fcbccecf3b72268ed60b0946e003745c040f599fc38354b7
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