Instructions to use facebook/deit-tiny-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/deit-tiny-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/deit-tiny-patch16-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/deit-tiny-patch16-224") model = AutoModelForImageClassification.from_pretrained("facebook/deit-tiny-patch16-224") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
b3428f1
1
Parent(s): 31e8642
Add TF weights (#1)
Browse files- Add TF weights (9ac8660a628f9a68a7f418be968df4a05f956bb7)
- 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:f3c4c2d90be356701bedc410769e6f1f32cdb2dd9fd7f10613eccfc772962f2e
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size 23166296
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