Instructions to use dilkushsingh/Facial_Emotion_Recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use dilkushsingh/Facial_Emotion_Recognizer with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://dilkushsingh/Facial_Emotion_Recognizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c815a3839149b5d9233af407dc847d24d0b39cfb06f1ff0c91c3052face32f96
- Size of remote file:
- 121 MB
- SHA256:
- 194c7d6921d39e515d02c49ddfecf29a43dc0f0df24f509c431a36a4ce9b7562
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