Instructions to use demid28/digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use demid28/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://demid28/digits") - Notebooks
- Google Colab
- Kaggle
Download my_model/saved_model.pb from demid28/digits: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/demid28/digits/resolve/main/my_model/saved_model.pb
- Command line
-
hf download hf://demid28/digits/my_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/demid28/digits/resolve/main/my_model/saved_model.pb
129 kB
- Xet hash:
- 75dc7288a41eed1c90a146c668d6efab1bcdaf27e9cb9f9dbb58ea8ef3cb2c53
- Size of remote file:
- 129 kB
- SHA256:
- c91273bdeb040c5a8bc12aeadd788bbb12fddf240eb31e962aafff2a5fef52a4
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