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DrishtiSharma
/
wav2vec2-large-xls-r-300m-sr-v4

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Serbian
wav2vec2
Generated from Trainer
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4")
    model = AutoModelForCTC.from_pretrained("DrishtiSharma/wav2vec2-large-xls-r-300m-sr-v4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xls-r-300m-sr-v4 / runs
22.3 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
DrishtiSharma's picture
DrishtiSharma
End of training
fce7839 over 4 years ago
  • Feb01_16-38-58_87c43518d300
    End of training over 4 years ago