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:
- d715d2e97c089376c6d9dec582e6b8dcb0427c4f4dfcda4bd2e9db1731f609bf
- Size of remote file:
- 3.83 kB
- SHA256:
- 9d3e29ad2480faea58926a644e20f5d2b4419d062266722a09f63c110569e16d
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