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
Commit History
-
Push Keras model using huggingface_hub.
Verified signature439b8d5
-
Push Keras model using huggingface_hub.
Verified signatured70e95f -
Push Keras model using huggingface_hub.
Verified signature835d894
-
Push Keras model using huggingface_hub.
Verified signature780bbde
-
Push Keras model using huggingface_hub.
Verified signatureaeab081 -
Push Keras model using huggingface_hub.
Verified signature5a31efb -
Push Keras model using huggingface_hub.
Verified signature961ce79 -
Push Keras model using huggingface_hub.
Verified signature50294fa -
initial commit
Verified signatureecf64bf