Instructions to use okenk/face2comic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use okenk/face2comic with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("okenk/face2comic") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from okenk/face2comic: direct link, hf CLI and curl.
- Browser
- Download file 214 kB
-
https://huggingface.co/okenk/face2comic/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://okenk/face2comic/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/okenk/face2comic/resolve/main/keras_metadata.pb
214 kB
- Xet hash:
- ecfe6705df4d86c0bd0fbcb1542524c55d6ed0e0693fa40b79cf6c2039bccb7b
- Size of remote file:
- 214 kB
- SHA256:
- a5da946d85e85adba9bccc0ba1a2a676661ba7961348b6d822d2948751ef5596
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