Instructions to use SpotLab/MobileViT_DeepLabv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpotLab/MobileViT_DeepLabv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="SpotLab/MobileViT_DeepLabv3")# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("SpotLab/MobileViT_DeepLabv3") model = MobileViTForSemanticSegmentation.from_pretrained("SpotLab/MobileViT_DeepLabv3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a62967c2a21ad04d4527504155434e1ae793dccb6205ddf097e385f797d5bbf
- Size of remote file:
- 7.9 MB
- SHA256:
- feec578f1413c5f2a9c759d488bc95548b9741a370ed408b2b0f8f5a921394ee
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