Instructions to use Matthijs/deeplabv3-mobilevit-xx-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/deeplabv3-mobilevit-xx-small with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Matthijs/deeplabv3-mobilevit-xx-small") model = MobileViTForSemanticSegmentation.from_pretrained("Matthijs/deeplabv3-mobilevit-xx-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71e098135b788e257c81a5bc7ef3576737caa837a855c2e997ca93e4e269e41e
- Size of remote file:
- 7.57 MB
- SHA256:
- 7336bc22eb4675e6a4e458153dffd635b92f7ccbf578d98d027ae26b4e839cf7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.