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:
- bdd7b9055bfbad96482165b3cab61f88f036e64d0f5c358f726c404d35b1aeb6
- Size of remote file:
- 606 kB
- SHA256:
- c58f1b80abfacb02e3f25c8523b0ba1d714bb99b10bf7257876254fc47dcea75
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