Instructions to use Redgerd/XceptionNet-Keras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Redgerd/XceptionNet-Keras 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://Redgerd/XceptionNet-Keras") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,4 @@
|
|
|
|
|
| 1 |
license: mit # Or apache-2.0, gpl-3.0, etc. Choose the license that applies to your project.
|
| 2 |
tags:
|
| 3 |
- deepfake-detection
|
|
|
|
| 1 |
+
---
|
| 2 |
license: mit # Or apache-2.0, gpl-3.0, etc. Choose the license that applies to your project.
|
| 3 |
tags:
|
| 4 |
- deepfake-detection
|