Instructions to use aadd77551/AI-image-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aadd77551/AI-image-detector 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://aadd77551/AI-image-detector") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from aadd77551/AI-image-detector: direct link, hf CLI and curl.
- Browser
- Download file 86.6 kB
-
https://huggingface.co/aadd77551/AI-image-detector/resolve/main/saved_model.pb
- Command line
-
hf download hf://aadd77551/AI-image-detector/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/aadd77551/AI-image-detector/resolve/main/saved_model.pb
86.6 kB
- Xet hash:
- 13c8da637ee8cce3fdfb074f9e16039826141df1af264eada732b3f3a115bfce
- Size of remote file:
- 86.6 kB
- SHA256:
- bd13fddd7cfb701a07c0262126d6c977e8916ca9d54063f8db7b76c997de3484
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.