Instructions to use peterhuang24/AI_Generated_Image_ClassiferV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use peterhuang24/AI_Generated_Image_ClassiferV2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://peterhuang24/AI_Generated_Image_ClassiferV2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89ee6ecbae0b7d9ea6acf994086194a57b1ab43965fb338a6fa7204c305367ae
- Size of remote file:
- 260 MB
- SHA256:
- 253f587fc9fff197fdba0dee95e7437f12f13020251b6f22a483505acacbd83b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.