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:
- 6c26e499841340d58f609236758a17c213fa595520af57cc3366bcdf431c3e90
- Size of remote file:
- 120 MB
- SHA256:
- 545bbbfc3dd21a6db05ca99d81312d46374805397d72ddc8bc8ca20baecf3b4c
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