LiteRT
Keras
English
tensorflow
emotion-recognition
vgg19
ckplus
rafdb
fine-tuning
computer-vision
deep-learning
facial-expression
affective-computing
Eval Results (legacy)
Instructions to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://PSewmuthu/vgg19-emotion-recognition-ckplus-rafdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 566fc40c44f26a9c8c2143bad4481d352671b792e20d89724a89a97cbf3356e7
- Size of remote file:
- 241 MB
- SHA256:
- 559f0518f49b8c1d689132521c9e0b28fe529d3f7fb374f55c15bd5c8d77b25d
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