Instructions to use josh-salako/ai_generated_image_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use josh-salako/ai_generated_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://josh-salako/ai_generated_image_detector") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from josh-salako/ai_generated_image_detector: direct link, hf CLI and curl.
- Browser
- Download file 408 kB
-
https://huggingface.co/josh-salako/ai_generated_image_detector/resolve/main/saved_model.pb
- Command line
-
hf download hf://josh-salako/ai_generated_image_detector/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/josh-salako/ai_generated_image_detector/resolve/main/saved_model.pb
408 kB
- Xet hash:
- 5bc70b220a01bfa77ed0c40dfbe3bae850e93df123562b4a1062f8500aec6aea
- Size of remote file:
- 408 kB
- SHA256:
- 62ddf304ce4baba890220c3f41756f7f6612a682ef2de25807cdc82dc729ffe5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.