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NbAiLab
/
wav2vec2-large-voxrex-npsc

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
NbAiLab/NPSC
Generated from Trainer
robust-speech-event
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use NbAiLab/wav2vec2-large-voxrex-npsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/wav2vec2-large-voxrex-npsc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-large-voxrex-npsc")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-large-voxrex-npsc")
    model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-large-voxrex-npsc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-voxrex-npsc / wandb
175 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 51 commits
versae's picture
versae
Last files
563b9c0 over 4 years ago
  • run-20220201_213057-2vounkdu
    Last files over 4 years ago
  • debug-internal.log
    52 Bytes
    Training in progress, step 500 over 4 years ago
  • debug.log
    43 Bytes
    Training in progress, step 500 over 4 years ago
  • latest-run
    28 Bytes
    Training in progress, step 500 over 4 years ago