Instructions to use Araeynn/e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Araeynn/e 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://Araeynn/e") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Araeynn/e: direct link, hf CLI and curl.
- Browser
- Download file 251 kB
-
https://huggingface.co/Araeynn/e/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://Araeynn/e@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Araeynn/e/resolve/refs%2Fpr%2F1/saved_model.pb
251 kB
- Xet hash:
- 7fcdae09b4915639aac52fdaba4916770bc21480fc50bcdb4719ce0cf7c25825
- Size of remote file:
- 251 kB
- SHA256:
- e2f1adf5a7a214dc6fac4f4383d2d2e18df64a51467eed4a22fc0acc83bdee6c
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