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Maniac
/
wav2vec2-xls-r-60-urdu

Automatic Speech Recognition
Transformers
PyTorch
Urdu
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use Maniac/wav2vec2-xls-r-60-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Maniac/wav2vec2-xls-r-60-urdu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Maniac/wav2vec2-xls-r-60-urdu")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Maniac/wav2vec2-xls-r-60-urdu")
    model = AutoModelForCTC.from_pretrained("Maniac/wav2vec2-xls-r-60-urdu", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-60-urdu / .ipynb_checkpoints
31.1 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
Maniac's picture
Maniac
Training in progress, step 200
8dd68b8 over 4 years ago
  • run-checkpoint.sh
    782 Bytes
    Training in progress, step 200 over 4 years ago
  • run_speech_recognition_ctc-checkpoint.py
    30.3 kB
    Training in progress, step 100 over 4 years ago