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anton-l
/
wav2vec2-large-xlsr-53-ukrainian

Automatic Speech Recognition
Transformers
PyTorch
JAX
Ukrainian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use anton-l/wav2vec2-large-xlsr-53-ukrainian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anton-l/wav2vec2-large-xlsr-53-ukrainian with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="anton-l/wav2vec2-large-xlsr-53-ukrainian")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-large-xlsr-53-ukrainian")
    model = AutoModelForCTC.from_pretrained("anton-l/wav2vec2-large-xlsr-53-ukrainian")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Add base_model information to model

#2 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#1 opened almost 3 years ago by
SFconvertbot
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