Instructions to use Chizzsam/shape-models-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Chizzsam/shape-models-checkpoints 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://Chizzsam/shape-models-checkpoints") - Notebooks
- Google Colab
- Kaggle
body checkpoint backup (8 files)
Browse files- body/body_state.json +1 -1
body/body_state.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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"epochs_done": 150,
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"cumulative_hours": 0.028219427333937744,
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-
"phase": "
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}
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{
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"epochs_done": 150,
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"cumulative_hours": 0.028219427333937744,
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+
"phase": "done"
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}
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