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
Upload 2 files
Browse files- saved_keras_model (1).keras +3 -0
- tokenizer.pickle +3 -0
saved_keras_model (1).keras
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oid sha256:f3c0eebb54862df82cd786c106791dbc5346ad6c20bf055b945bf5ece3a5ed83
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tokenizer.pickle
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oid sha256:e2751e1382fade8d253d3c7f17d2e1060266cc2bcd069f9a938261a896a2317b
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size 58060
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