Instructions to use ARI-HIPA-AI-Team/HIPA-AI_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ARI-HIPA-AI-Team/HIPA-AI_Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ARI-HIPA-AI-Team/HIPA-AI_Model") - Notebooks
- Google Colab
- Kaggle
Rename saved_keras_model (1).keras to saved_keras_model.keras
Browse files
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saved_keras_model[[:space:]](1).keras filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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saved_keras_model[[:space:]](1).keras filter=lfs diff=lfs merge=lfs -text
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saved_keras_model.keras filter=lfs diff=lfs merge=lfs -text
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saved_keras_model (1).keras → saved_keras_model.keras
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