Instructions to use hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation") model = MobileViTForSemanticSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTForSemanticSegmentation") - Notebooks
- Google Colab
- Kaggle
| { | |
| "crop_size": { | |
| "height": 32, | |
| "width": 32 | |
| }, | |
| "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": 32 | |
| } | |
| } | |