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 face/checkpoint from Chizzsam/shape-models-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/Chizzsam/shape-models-checkpoints/resolve/main/face/checkpoint
- Command line
-
hf download hf://Chizzsam/shape-models-checkpoints/face/checkpoint
-
curl -L -o checkpoint https://huggingface.co/Chizzsam/shape-models-checkpoints/resolve/main/face/checkpoint
345 Bytes
| model_checkpoint_path: "ckpt-41" | |
| all_model_checkpoint_paths: "ckpt-39" | |
| all_model_checkpoint_paths: "ckpt-40" | |
| all_model_checkpoint_paths: "ckpt-41" | |
| all_model_checkpoint_timestamps: 1794321201.854194 | |
| all_model_checkpoint_timestamps: 1794321208.648896 | |
| all_model_checkpoint_timestamps: 1794321215.417266 | |
| last_preserved_timestamp: 1794320894.7690144 | |