Instructions to use Rahmat15/tenang-in-model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Rahmat15/tenang-in-model1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Rahmat15/tenang-in-model1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bec727e3c55e15684b6048ab0d46271b42b713f5e01f9a82653ac82e4d367365
- Size of remote file:
- 5.89 MB
- SHA256:
- 0914b3dbf5d88aa8dee1260cc5fffb40dc1746fa6fce3cd37c21028ea8120b79
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