Instructions to use Chizzsam/vton-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Chizzsam/vton-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/vton-checkpoints") - Notebooks
- Google Colab
- Kaggle
Download checkpoint from Chizzsam/vton-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/Chizzsam/vton-checkpoints/resolve/main/checkpoint
- Command line
-
hf download hf://Chizzsam/vton-checkpoints/checkpoint
-
curl -L -o checkpoint https://huggingface.co/Chizzsam/vton-checkpoints/resolve/main/checkpoint
348 Bytes
| model_checkpoint_path: "ckpt-53" | |
| all_model_checkpoint_paths: "ckpt-51" | |
| all_model_checkpoint_paths: "ckpt-52" | |
| all_model_checkpoint_paths: "ckpt-53" | |
| all_model_checkpoint_timestamps: 1794219347.0708053 | |
| all_model_checkpoint_timestamps: 1794220561.4268248 | |
| all_model_checkpoint_timestamps: 1794312419.7794404 | |
| last_preserved_timestamp: 1793875013.2927492 | |