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")# pip install -U transformers accelerate # 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
Download model.safetensors from SpotLab/MobileViT_DeepLabv3: direct link, hf CLI and curl.
- Browser
- Download file 7.5 MB
-
https://huggingface.co/SpotLab/MobileViT_DeepLabv3/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://SpotLab/MobileViT_DeepLabv3@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SpotLab/MobileViT_DeepLabv3/resolve/refs%2Fpr%2F1/model.safetensors
7.5 MB
- Xet hash:
- a5487365a7a54064a5aedf417b516a3fe1c8033d0f69d18270813ed1a1324b71
- Size of remote file:
- 7.5 MB
- SHA256:
- ad3daf82893d5f9bca3440204d750d7d5a81cc4411ecc893879d0495c584afff
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