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:
- 767cb09f48a9cc3b17d9d3083ca9dc076d055e897fa82f0204d283884660c906
- Size of remote file:
- 858 Bytes
- SHA256:
- 72c77bf00d6b25ad452dd54593bf9d93493b6cf1fcb26f30acd3ea621b2062fe
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