Instructions to use lysandre/test-save-keras-sequential with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lysandre/test-save-keras-sequential with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lysandre/test-save-keras-sequential") - Notebooks
- Google Colab
- Kaggle
File size: 232 Bytes
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library_name: keras
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## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training Metrics
Model history needed |