Instructions to use Matthijs/deeplabv3-mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/deeplabv3-mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="Matthijs/deeplabv3-mobilevit-small")# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Matthijs/deeplabv3-mobilevit-small") model = MobileViTForSemanticSegmentation.from_pretrained("Matthijs/deeplabv3-mobilevit-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9637a352701a0374f7c088f273691f3d96f54ce96a108a45d1c8c9da60897d5b
- Size of remote file:
- 25.6 MB
- SHA256:
- b34765bc50d2fbbefa5db46eddd6b49c14e2376afbd6e080fdba31d26c1c8c72
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