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PrajwalS
/
wav2vec2_custom_model_50

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

Instructions to use PrajwalS/wav2vec2_custom_model_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PrajwalS/wav2vec2_custom_model_50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="PrajwalS/wav2vec2_custom_model_50")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("PrajwalS/wav2vec2_custom_model_50")
    model = AutoModelForCTC.from_pretrained("PrajwalS/wav2vec2_custom_model_50")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_custom_model_50 / runs
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  • 1 contributor
History: 2 commits
PrajwalS's picture
PrajwalS
Model save
8c60678 about 4 years ago
  • May06_15-10-21_hydcorp-esxi09
    add tokenizer about 4 years ago
  • May06_15-12-46_hydcorp-esxi09
    Model save about 4 years ago