Instructions to use LayerFault/format-keras-clean-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use LayerFault/format-keras-clean-control with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://LayerFault/format-keras-clean-control") - Notebooks
- Google Colab
- Kaggle
Download FIXTURE_LAYOUT.json from LayerFault/format-keras-clean-control: direct link, hf CLI and curl.
- Browser
- Download file 200 Bytes
-
https://huggingface.co/LayerFault/format-keras-clean-control/resolve/main/FIXTURE_LAYOUT.json
- Command line
-
hf download hf://LayerFault/format-keras-clean-control/FIXTURE_LAYOUT.json
-
curl -L -o FIXTURE_LAYOUT.json https://huggingface.co/LayerFault/format-keras-clean-control/resolve/main/FIXTURE_LAYOUT.json
200 Bytes
| { | |
| "artifacts": [ | |
| "model.keras" | |
| ], | |
| "family": "format", | |
| "note": "All content is synthetic and inert. Do not treat this as a production model.", | |
| "repo_name": "format-keras-clean-control" | |
| } | |