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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 313 Bytes
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"height": 64,
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},
"do_center_crop": true,
"do_flip_channel_order": true,
"do_rescale": true,
"do_resize": true,
"image_processor_type": "MobileViTImageProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 64
}
}
|