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zoha
/
wav2vec2-base-timit-google-colab

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use zoha/wav2vec2-base-timit-google-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zoha/wav2vec2-base-timit-google-colab with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="zoha/wav2vec2-base-timit-google-colab")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("zoha/wav2vec2-base-timit-google-colab")
    model = AutoModelForCTC.from_pretrained("zoha/wav2vec2-base-timit-google-colab", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-timit-google-colab / runs
90.9 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
zoha's picture
zoha
End of training
d859c0a about 4 years ago
  • Jun13_06-17-46_18be7aee5dbe
    add tokenizer about 4 years ago
  • Jun13_06-28-10_18be7aee5dbe
    add tokenizer about 4 years ago
  • Jun13_06-35-26_18be7aee5dbe
    add tokenizer about 4 years ago
  • Jun13_06-38-35_18be7aee5dbe
    add tokenizer about 4 years ago
  • Jun13_06-52-18_18be7aee5dbe
    add tokenizer about 4 years ago
  • Jun13_07-49-07_df5615eefe30
    End of training about 4 years ago