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: purge old cm-scale checkpoints (schema 1→2)
Browse files- body/checkpoint +0 -8
- body/ckpt-148.data-00000-of-00001 +0 -0
- body/ckpt-148.index +0 -0
- body/ckpt-149.data-00000-of-00001 +0 -0
- body/ckpt-149.index +0 -0
- body/ckpt-150.data-00000-of-00001 +0 -0
- body/ckpt-150.index +0 -0
body/checkpoint
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model_checkpoint_path: "ckpt-150"
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all_model_checkpoint_paths: "ckpt-148"
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all_model_checkpoint_paths: "ckpt-149"
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all_model_checkpoint_paths: "ckpt-150"
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all_model_checkpoint_timestamps: 1794322588.7101295
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all_model_checkpoint_timestamps: 1794322589.2935653
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all_model_checkpoint_timestamps: 1794322589.883026
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last_preserved_timestamp: 1794322487.245738
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body/ckpt-148.data-00000-of-00001
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