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speech-seq2seq
/
wav2vec2-2-roberta-large

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use speech-seq2seq/wav2vec2-2-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use speech-seq2seq/wav2vec2-2-roberta-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="speech-seq2seq/wav2vec2-2-roberta-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq
    
    tokenizer = AutoTokenizer.from_pretrained("speech-seq2seq/wav2vec2-2-roberta-large")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("speech-seq2seq/wav2vec2-2-roberta-large")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-2-roberta-large / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 33 commits
Sanchit Gandhi
End of training
c561c40 over 4 years ago
  • Feb02_17-30-37_sanchit--v100
    Training in progress, step 500 over 4 years ago
  • Feb02_18-27-07_sanchit--v100
    Training in progress, step 500 over 4 years ago
  • Feb02_18-28-33_sanchit--v100
    Training in progress, step 500 over 4 years ago
  • Feb03_08-22-02_sanchit--v100
    Training in progress, step 500 over 4 years ago
  • Feb08_15-20-51_sanchit--v100
    End of training over 4 years ago
  • Feb09_14-33-36_sanchit--v100
    Training in progress, step 500 over 4 years ago
  • Feb09_21-54-33_sanchit--v100
    End of training over 4 years ago