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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
579 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
PSewmuthu's picture
PSewmuthu
Add example usage notebook
be2152c 7 months ago
  • assets
    Add assets related to models 7 months ago
  • images
    Add visualization plots 7 months ago
  • .gitattributes
    1.65 kB
    Add tracking file types 7 months ago
  • README.md
    9.14 kB
    Update default readme file 7 months ago
  • tf_emotion-sequence-transformer-bilstm-usage.ipynb
    40.6 kB
    xet
    Add example usage notebook 7 months ago
  • tf_emotion_sequence_transformer_mp478_seq256.h5
    533 MB
    xet
    Add trained and optimized model files 7 months ago
  • tf_emotion_sequence_transformer_mp478_seq256_optimized.tflite
    45.8 MB
    xet
    Add trained and optimized model files 7 months ago