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
File size: 352 Bytes
c395dfe 8710d97 | 1 2 3 4 5 6 7 8 9 | model_checkpoint_path: "ckpt-150"
all_model_checkpoint_paths: "ckpt-148"
all_model_checkpoint_paths: "ckpt-149"
all_model_checkpoint_paths: "ckpt-150"
all_model_checkpoint_timestamps: 1794446501.2192907
all_model_checkpoint_timestamps: 1794446501.8500862
all_model_checkpoint_timestamps: 1794446502.4755986
last_preserved_timestamp: 1794446391.0767326
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