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
face checkpoint backup (4 files)
Browse files- .gitattributes +1 -0
- face/checkpoint +4 -0
- face/ckpt-1.data-00000-of-00001 +3 -0
- face/ckpt-1.index +0 -0
- face/face_state.json +6 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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face/ckpt-1.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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face/checkpoint
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model_checkpoint_path: "ckpt-1"
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all_model_checkpoint_paths: "ckpt-1"
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all_model_checkpoint_timestamps: 1794320940.9206886
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last_preserved_timestamp: 1794320894.7690144
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face/ckpt-1.data-00000-of-00001
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version https://git-lfs.github.com/spec/v1
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oid sha256:da9db9dde153ea078d9c887cbbc6136ead6b63c3d8006ea3bcaeb886cdf3fd97
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size 9151156
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face/ckpt-1.index
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Binary file (17.3 kB). View file
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face/face_state.json
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{
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"phase": "base",
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"base_epochs_done": 1,
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"finetune_epochs_done": 0,
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"cumulative_hours": 0.012540339496400621
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}
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