Instructions to use BigLemon/deeplabv3-mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigLemon/deeplabv3-mobilevit-small with Transformers:
# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("BigLemon/deeplabv3-mobilevit-small") model = MobileViTForSemanticSegmentation.from_pretrained("BigLemon/deeplabv3-mobilevit-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 888e5b8fe314f8a65471643c7cef820e0ef3efae75fda5aecc953b81306b7e9d
- Size of remote file:
- 5.11 kB
- SHA256:
- a3b440ed9825213d159bc995a88f7e7d30b889fb5278c3b94474343d0c7a2470
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.