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:
- c5b3e6e15d9d8a45f4e9bc8109b9604d19cc863d3a9e7cfe72db32db1fee511b
- Size of remote file:
- 2.15 GB
- SHA256:
- 2ed9c786a4fb094d1339d4625853f150ee7dc1f24d727fb96bb98c03358a5104
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