Instructions to use SupawitMarayat/pimthaigans-cgan-0010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use SupawitMarayat/pimthaigans-cgan-0010 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://SupawitMarayat/pimthaigans-cgan-0010") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd87a7a0f3e1c6e37c6a4ae35b185e8cdb046d980efa0f201e03ade7eeb8977b
- Size of remote file:
- 358 kB
- SHA256:
- 3e7703f54a33edad2fb0347f0115ecb5cfee117e47f14c25dff90d6a304db3b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.