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Aniemore
/
unispeech-sat-emotion-russian-resd

Audio Classification
Transformers
PyTorch
Safetensors
Russian
unispeech-sat
emotion-recognition
speech-emotion-recognition
audio
speech
russian
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use Aniemore/unispeech-sat-emotion-russian-resd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aniemore/unispeech-sat-emotion-russian-resd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Aniemore/unispeech-sat-emotion-russian-resd")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Aniemore/unispeech-sat-emotion-russian-resd")
    model = AutoModelForAudioClassification.from_pretrained("Aniemore/unispeech-sat-emotion-russian-resd", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
unispeech-sat-emotion-russian-resd / assets
17.6 kB
Ctrl+K
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  • 2 contributors
History: 3 commits
Ar4ikov's picture
Ar4ikov
Show weighted accuracy alongside macro-F1
bac7f05 verified 2 months ago
  • confusion.svg
    14.8 kB
    Show weighted accuracy alongside macro-F1 2 months ago
  • panel.svg
    2.84 kB
    Show weighted accuracy alongside macro-F1 2 months ago