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:
- ec143ce31fe367712fe92e66346f03f48b6938681d1eaa80ec25beb18d38668b
- Size of remote file:
- 2.15 GB
- SHA256:
- 300f726815c72187b99ee387673fb4c81a55c8ddd02354e65ce1c8270d6ebec5
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