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
Download body/checkpoint from Chizzsam/shape-models-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 352 Bytes
-
https://huggingface.co/Chizzsam/shape-models-checkpoints/resolve/main/body/checkpoint
- Command line
-
hf download hf://Chizzsam/shape-models-checkpoints/body/checkpoint
-
curl -L -o checkpoint https://huggingface.co/Chizzsam/shape-models-checkpoints/resolve/main/body/checkpoint
352 Bytes
| 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 | |