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Mihaj
/
w2v-bert-karelian-CodeSwitching

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

Instructions to use Mihaj/w2v-bert-karelian-CodeSwitching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mihaj/w2v-bert-karelian-CodeSwitching with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Mihaj/w2v-bert-karelian-CodeSwitching")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Mihaj/w2v-bert-karelian-CodeSwitching")
    model = AutoModelForCTC.from_pretrained("Mihaj/w2v-bert-karelian-CodeSwitching")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-bert-karelian-CodeSwitching / runs
39.8 kB
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  • 1 contributor
History: 19 commits
Mihaj's picture
Mihaj
Training in progress, step 10000
27c5ede verified about 2 years ago
  • Apr24_15-30-53_maxim-ubuntu3080
    Training in progress, step 500 about 2 years ago
  • Apr24_15-37-40_maxim-ubuntu3080
    Training in progress, step 500 about 2 years ago
  • Apr24_15-42-37_maxim-ubuntu3080
    Training in progress, step 500 about 2 years ago
  • Apr24_15-46-05_maxim-ubuntu3080
    Training in progress, step 10000 about 2 years ago