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codingninja
/
w2v-pa-v2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use codingninja/w2v-pa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codingninja/w2v-pa-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="codingninja/w2v-pa-v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("codingninja/w2v-pa-v2")
    model = AutoModelForCTC.from_pretrained("codingninja/w2v-pa-v2")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-pa-v2 / runs
3.66 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 41 commits
codingninja's picture
codingninja
Training in progress, step 163800
879b7ea verified about 2 years ago
  • Jun12_02-36-21_sarabjot
    Training in progress, step 93600 about 2 years ago
  • Jun13_18-52-40_sarabjot
    Training in progress, step 163800 about 2 years ago