Instructions to use NeuralTrustBank/test-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NeuralTrustBank/test-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://NeuralTrustBank/test-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 596eb7f21ddb27188fdb29cc6c5fd92f837be8c821d41a2ed5a84f91c0f9b444
- Size of remote file:
- 118 Bytes
- SHA256:
- 7a75f4b5c61ad06470ba932070c200e996b77c83abd5d92c69296ecaf9d3ec97
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