Instructions to use cmudrc/wave-energy-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use cmudrc/wave-energy-analysis 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("cmudrc/wave-energy-analysis") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from cmudrc/wave-energy-analysis: direct link, hf CLI and curl.
- Browser
- Download file 93.8 kB
-
https://huggingface.co/cmudrc/wave-energy-analysis/resolve/main/saved_model.pb
- Command line
-
hf download hf://cmudrc/wave-energy-analysis/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/cmudrc/wave-energy-analysis/resolve/main/saved_model.pb
93.8 kB
- Xet hash:
- bfc5634f5b46a394caf7529abf9f8e21889cd9d26bef51c788fe51bc04fa7b4a
- Size of remote file:
- 93.8 kB
- SHA256:
- 80e432af7c364a9abed952dd403897170e3dd84c393e971d2a523e07e49d44e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.