Instructions to use peterhuang24/AI_Generated_Image_ClassiferV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use peterhuang24/AI_Generated_Image_ClassiferV3 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://peterhuang24/AI_Generated_Image_ClassiferV3") - Notebooks
- Google Colab
- Kaggle
Download AI_Image_Classifer.keras from peterhuang24/AI_Generated_Image_ClassiferV3: direct link, hf CLI and curl.
- Browser
- Download file 260 MB
-
https://huggingface.co/peterhuang24/AI_Generated_Image_ClassiferV3/resolve/main/AI_Image_Classifer.keras
- Command line
-
hf download hf://peterhuang24/AI_Generated_Image_ClassiferV3/AI_Image_Classifer.keras
-
curl -L -o AI_Image_Classifer.keras https://huggingface.co/peterhuang24/AI_Generated_Image_ClassiferV3/resolve/main/AI_Image_Classifer.keras
260 MB
- Xet hash:
- 89ee6ecbae0b7d9ea6acf994086194a57b1ab43965fb338a6fa7204c305367ae
- Size of remote file:
- 260 MB
- SHA256:
- 253f587fc9fff197fdba0dee95e7437f12f13020251b6f22a483505acacbd83b
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