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facebook
/
wav2vec2-base-es-voxpopuli-v2

Automatic Speech Recognition
Transformers
PyTorch
Spanish
wav2vec2
pretraining
audio
voxpopuli-v2
Model card Files Files and versions
xet
Community
1

Instructions to use facebook/wav2vec2-base-es-voxpopuli-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/wav2vec2-base-es-voxpopuli-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-es-voxpopuli-v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-es-voxpopuli-v2")
    model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base-es-voxpopuli-v2")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-es-voxpopuli-v2
380 MB
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  • 1 contributor
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
add readme
b982ca9 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.37 kB
    add readme over 4 years ago
  • config.json
    2.31 kB
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  • preprocessor_config.json
    213 Bytes
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  • pytorch_model.bin
    380 MB
    xet
    add model over 4 years ago