Instructions to use Nielzac/Altered_Picture_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Nielzac/Altered_Picture_Model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Nielzac/Altered_Picture_Model") - Notebooks
- Google Colab
- Kaggle
| license: cc-by-4.0 | |
| language: | |
| - fr | |
| - en | |
| library_name: keras | |
| tags: | |
| - 'Computer Vision ' | |
| - fake pictures | |
| ## Model architecture | |
|  | |