Instructions to use nateraw/test-save-keras-sequential-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/test-save-keras-sequential-3 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nateraw/test-save-keras-sequential-3") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
d47aff9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1 oid sha256:368f9da591d7db27d3f7c3dce9ebf8e547d7e30b53ca432c97d88193f69d7c28 size 60057 |