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adrianSauer
/
wav2vec2-wer

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Guaraní
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use adrianSauer/wav2vec2-wer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adrianSauer/wav2vec2-wer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="adrianSauer/wav2vec2-wer")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("adrianSauer/wav2vec2-wer")
    model = AutoModelForCTC.from_pretrained("adrianSauer/wav2vec2-wer")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-wer
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
adrianSauer's picture
adrianSauer
End of training
1965285 verified over 1 year ago
  • runs
    Training in progress, step 500 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.22 kB
    End of training over 1 year ago
  • added_tokens.json
    30 Bytes
    Training in progress, step 500 about 2 years ago
  • config.json
    2.13 kB
    Training in progress, step 500 over 1 year ago
  • model.safetensors
    1.26 GB
    xet
    Training in progress, step 500 over 1 year ago
  • preprocessor_config.json
    256 Bytes
    Training in progress, step 500 about 2 years ago
  • special_tokens_map.json
    520 Bytes
    Training in progress, step 500 about 2 years ago
  • tokenizer_config.json
    1.16 kB
    Training in progress, step 500 about 2 years ago
  • training_args.bin
    5.37 kB
    xet
    Training in progress, step 500 over 1 year ago
  • vocab.json
    503 Bytes
    Training in progress, step 500 about 2 years ago