Instructions to use cicada-project/cicada-v2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use cicada-project/cicada-v2.1 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("cicada-project/cicada-v2.1") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from cicada-project/cicada-v2.1: direct link, hf CLI and curl.
- Browser
- Download file 378 kB
-
https://huggingface.co/cicada-project/cicada-v2.1/resolve/main/saved_model.pb
- Command line
-
hf download hf://cicada-project/cicada-v2.1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/cicada-project/cicada-v2.1/resolve/main/saved_model.pb
378 kB
- Xet hash:
- 02ca8223a25dfa5db5364dd37b5328d5a5048e70bb6bfead8abb6efbb5227293
- Size of remote file:
- 378 kB
- SHA256:
- 0cfeae3c713fccccb56be060ef69f47dc4a4e353e16b5cddab91c6e8d9f4f868
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