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Jingya
/
wav2vec2-base-superb-sd-neuronx

Transformers
wav2vec2
audio-frame-classification
Model card Files Files and versions
xet
Community

Instructions to use Jingya/wav2vec2-base-superb-sd-neuronx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jingya/wav2vec2-base-superb-sd-neuronx with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioFrameClassification
    
    processor = AutoProcessor.from_pretrained("Jingya/wav2vec2-base-superb-sd-neuronx")
    model = AutoModelForAudioFrameClassification.from_pretrained("Jingya/wav2vec2-base-superb-sd-neuronx")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-superb-sd-neuronx
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  • 2 contributors
History: 3 commits
Jingya HUANG
upload
c5af7e8 almost 2 years ago
  • .gitattributes
    1.56 kB
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  • README.md
    956 Bytes
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  • config.json
    3.12 kB
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  • model.neuron
    153 MB
    xet
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  • preprocessor_config.json
    215 Bytes
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  • special_tokens_map.json
    544 Bytes
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  • tokenizer_config.json
    1.15 kB
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  • vocab.json
    358 Bytes
    upload almost 2 years ago