Instructions to use NicholasSynovic/VEAA-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NicholasSynovic/VEAA-Models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://NicholasSynovic/VEAA-Models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbc00d05ec73576016466de476e8fa00e6144a40249f7e8f077a74d789d62e1d
- Size of remote file:
- 59.7 MB
- SHA256:
- 11a9c910a2ac0d5cd9c656ab4ed7a07e60dd56ef93eab25aa3f976f524f83bd5
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