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
File size: 132 Bytes
e82ece4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0914b3dbf5d88aa8dee1260cc5fffb40dc1746fa6fce3cd37c21028ea8120b79
size 5892721
|