Instructions to use kesslya1/F1_Model_Ownmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kesslya1/F1_Model_Ownmodel with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kesslya1/F1_Model_Ownmodel") - Notebooks
- Google Colab
- Kaggle
Upload 4 files
Browse files- .gitattributes +1 -0
- keras_metadata.pb +3 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +3 -0
- variables/variables.index +0 -0
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