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padmalcom
/
wav2vec2-large-nonverbalvocalization-classification

Audio Classification
Transformers
PyTorch
multilingual
wav2vec2
voice
classification
vocalization
speech
audio
Model card Files Files and versions
xet
Community
2

Instructions to use padmalcom/wav2vec2-large-nonverbalvocalization-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use padmalcom/wav2vec2-large-nonverbalvocalization-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="padmalcom/wav2vec2-large-nonverbalvocalization-classification")
    # Load model directly
    from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification
    
    processor = AutoProcessor.from_pretrained("padmalcom/wav2vec2-large-nonverbalvocalization-classification")
    model = Wav2Vec2ForSpeechClassification.from_pretrained("padmalcom/wav2vec2-large-nonverbalvocalization-classification")
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

Where does from Wav2Vec2ForSpeechClassification model class come from?

1
#2 opened almost 2 years ago by
z3ugma

Adding `safetensors` variant of this model

#1 opened over 2 years ago by
SFconvertbot
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