Instructions to use sarasij907/emotion-detection-efficientnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sarasij907/emotion-detection-efficientnet with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://sarasij907/emotion-detection-efficientnet") - Notebooks
- Google Colab
- Kaggle
File size: 225 Bytes
502cea0 | 1 2 3 4 5 6 7 | fold,val_loss,val_accuracy
1,1.1901252269744873,0.5581678748130798
2,1.170552372932434,0.5696621537208557
3,1.1538811922073364,0.5754092931747437
4,1.2202069759368896,0.5442354679107666
5,1.213152289390564,0.5506009459495544
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