Instructions to use Glienware/Latrix-LDD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Glienware/Latrix-LDD with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Glienware/Latrix-LDD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c181f323e97554b34f20d77ba467af288b970218ab1290490a923ca1035a670
- Size of remote file:
- 613 Bytes
- SHA256:
- ad2f23c6e7db2b6d857e4bd3dfdb6c8e8f2ec9b7a7ef13846c733960878f9ab9
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