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:
- a8fa2f56490581cbd49950ba601aa3dea74898412ba64407748accf7952f40b1
- Size of remote file:
- 167 Bytes
- SHA256:
- 2442785a065af668f1d973e15efd0814e88cde8af01dbb098fb7e942f2eeb3c7
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