Instructions to use Sharbie/face_recognition_EmoAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Sharbie/face_recognition_EmoAI with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Sharbie/face_recognition_EmoAI") - Notebooks
- Google Colab
- Kaggle
| datasets: | |
| - Datatang/Occluded_and_Multi-pose_Face_Recognition_Data | |
| metrics: | |
| - accuracy | |
| library_name: keras | |