Instructions to use dedgington/vit-small-ds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dedgington/vit-small-ds with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://dedgington/vit-small-ds") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from dedgington/vit-small-ds: direct link, hf CLI and curl.
- Browser
- Download file 2.08 MB
-
https://huggingface.co/dedgington/vit-small-ds/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://dedgington/vit-small-ds@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/dedgington/vit-small-ds/resolve/refs%2Fpr%2F1/saved_model.pb
2.08 MB
- Xet hash:
- 713feb019273a841767b6039f945089a7139cc110d55bbb148b977fc20f349af
- Size of remote file:
- 2.08 MB
- SHA256:
- 55de94fea6d8bfc491b9c72fe37c56a673108b61fcf3f202f45d25408b846cbc
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