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:
- e2383db9b040f907bceda23ccd695967a6dd7eceb9cebbfd95ac20651575fffb
- Size of remote file:
- 107 MB
- SHA256:
- bcfb765e57a45020a60a841d04e242676f53d52b852f129526b0200eae3ab018
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