Instructions to use LayerFault/tensorflow-filesystem-write with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LayerFault/tensorflow-filesystem-write 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("LayerFault/tensorflow-filesystem-write") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from LayerFault/tensorflow-filesystem-write: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
-
https://huggingface.co/LayerFault/tensorflow-filesystem-write/resolve/main/saved_model.pb
- Command line
-
hf download hf://LayerFault/tensorflow-filesystem-write/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/LayerFault/tensorflow-filesystem-write/resolve/main/saved_model.pb
73 Bytes
- Xet hash:
- 5967488c7e98a4c6ce76f809231bc7234c7b57b732e11e5a531e7f0c18767cba
- Size of remote file:
- 73 Bytes
- SHA256:
- 9eacca9f82808b0858ec95a5787360f77c54be551ee3fad5989aaf5ceeebd107
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