Instructions to use apple/deeplabv3-mobilevit-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/deeplabv3-mobilevit-x-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="apple/deeplabv3-mobilevit-x-small")# Load model directly from transformers import AutoImageProcessor, MobileViTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("apple/deeplabv3-mobilevit-x-small") model = MobileViTForSemanticSegmentation.from_pretrained("apple/deeplabv3-mobilevit-x-small") - Notebooks
- Google Colab
- Kaggle
Add TF weights (#1)
Browse files- Add TF weights (22d5c9323969a342567d8a731005e886b2527155)
Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ff25647596314b8b537a46374c1b90ee7b89611e2822a90aa1b3df0d3071dbf
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size 12276104
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