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:
- 4f5566a73f7639d64056b957a349420f308a48e6af07b0d699c8bdf4211055c5
- Size of remote file:
- 120 MB
- SHA256:
- 378b85298a09c9829296c2f2fce43185c617248968941bede6c371f8d27b1806
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