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:
- 8f626c212631bcc0a7793adea458a267ac9244177037d52923c3b68676fdf65e
- Size of remote file:
- 3.26 MB
- SHA256:
- 7c293a85747bbd42b7c7eaa8b19e222bf4d13936742e0831cfca96b74c19645a
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