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 fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use fdfddfdsaassd/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://fdfddfdsaassd/vgg19-emotion-recognition-ckplus-rafdb") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4d0ce7c558f49aa3c126021bef10243e752cb817f5ae5fbd06d3294613fa2916
- Size of remote file:
- 27.8 kB
- SHA256:
- a2356aefd603b4d4f60b64a56bd74c2d4d0582c7276e5089dacb0beb089ed54a
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