Instructions to use apple/deeplabv3-mobilevit-xx-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/deeplabv3-mobilevit-xx-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="apple/deeplabv3-mobilevit-xx-small")# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("apple/deeplabv3-mobilevit-xx-small") model = MobileViTForSemanticSegmentation.from_pretrained("apple/deeplabv3-mobilevit-xx-small") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 574661838dbda8b436da7ed9c09845c44e7f39665419b6f1ea0aeb26fef61111
- Size of remote file:
- 7.57 MB
- SHA256:
- 0f91dba8e66cf725cc0cd987b9bf47b0e95788bf4050032d55de23217d5ffa60
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