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PSewmuthu
/
EmotionFormer-BiLSTM

LiteRT
Keras
English
tensorflow
emotion-recognition
transformer
lstm
mediapipe
computer-vision
deep-learning
facial-expression
affective-computing
sequential-data
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use PSewmuthu/EmotionFormer-BiLSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use PSewmuthu/EmotionFormer-BiLSTM 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/EmotionFormer-BiLSTM")
    
  • Notebooks
  • Google Colab
  • Kaggle
EmotionFormer-BiLSTM / assets
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PSewmuthu's picture
PSewmuthu
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  • global_mean.npy
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  • global_std.npy
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  • label_encoder.pkl
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  • metadata.json
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