Instructions to use Matthijs/deeplabv3-mobilevit-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/deeplabv3-mobilevit-x-small with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Matthijs/deeplabv3-mobilevit-x-small") model = MobileViTForSemanticSegmentation.from_pretrained("Matthijs/deeplabv3-mobilevit-x-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91e701e5acf17b3a7f9f8321502e9138168abef3b8e5106833a6a4da142bdc66
- Size of remote file:
- 11.9 MB
- SHA256:
- acdeaa6b73ee01c679b01d163746e48718449de02dedebde32d9780f05fdccbd
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