Instructions to use Andrey13rasfasf/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Andrey13rasfasf/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://Andrey13rasfasf/digits") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Andrey13rasfasf/digits: direct link, hf CLI and curl.
- Browser
- Download file 128 kB
-
https://huggingface.co/Andrey13rasfasf/digits/resolve/main/saved_model.pb
- Command line
-
hf download hf://Andrey13rasfasf/digits/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Andrey13rasfasf/digits/resolve/main/saved_model.pb
128 kB
- Xet hash:
- a86bd32fddafe4a108dd7b831d074eab193679c1ef7ac4b8cdac0a51b342bae9
- Size of remote file:
- 128 kB
- SHA256:
- 0460fa7ebc634e434047a9dd8277d39d79025cdee1c1115a6161bb2a88395781
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