Instructions to use keras-io/cl_s2s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/cl_s2s 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("keras-io/cl_s2s") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/cl_s2s: direct link, hf CLI and curl.
- Browser
- Download file 1.65 MB
-
https://huggingface.co/keras-io/cl_s2s/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/cl_s2s/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/cl_s2s/resolve/main/saved_model.pb
1.65 MB
- Xet hash:
- 0601cbf536db4500d5f4420e24fceb281ab1a7bec6e17edf810a05bbe150cb63
- Size of remote file:
- 1.65 MB
- SHA256:
- e1295a34db0cd3c66fa2bea2a4c0a5c6e191675987d540198727754d6355d233
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