Instructions to use apple/mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="apple/mobilevit-small") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apple/mobilevit-small", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add TF weights (#1)
Browse files- Add TF weights (3a6e59e7e35894816be5685bc178343a387298bb)
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 sha256:877957ccd128bf7a15912ce185673262923af6affd9bfea6e7c0713985c83f67
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size 22793944
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