Instructions to use Jabka/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Jabka/digits 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://Jabka/digits") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Jabka/digits: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/Jabka/digits/resolve/main/saved_model.pb
- Command line
-
hf download hf://Jabka/digits/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Jabka/digits/resolve/main/saved_model.pb
129 kB
- Xet hash:
- 7c7f171b77391ef3defe4d3e7f5108b1eda4a211490f262ccf188f50a000185c
- Size of remote file:
- 129 kB
- SHA256:
- 41f32642a3cc40d2bc89ec68925a5188d421b096274f26d48aeb951a639a0544
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