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NbAiLab
/
wav2vec2-1b-npsc-nst

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use NbAiLab/wav2vec2-1b-npsc-nst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/wav2vec2-1b-npsc-nst with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-1b-npsc-nst")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-1b-npsc-nst")
    model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-1b-npsc-nst")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-1b-npsc-nst / language_model
4.26 GB
Ctrl+K
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  • 4 contributors
History: 1 commit
versae's picture
versae
Adding 5-gram lang model
bc4c4dc over 3 years ago
  • 5gram.bin
    4.24 GB
    xet
    Adding 5-gram lang model over 3 years ago
  • attrs.json
    78 Bytes
    Adding 5-gram lang model over 3 years ago
  • unigrams.txt
    16.8 MB
    xet
    Adding 5-gram lang model over 3 years ago