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speech-uk
/
w2v-bert

Automatic Speech Recognition
Transformers
Safetensors
Ukrainian
wav2vec2-bert
audio
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use speech-uk/w2v-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="speech-uk/w2v-bert")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("speech-uk/w2v-bert")
    model = AutoModelForCTC.from_pretrained("speech-uk/w2v-bert")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-bert
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Yehor's picture
Yehor
Update README.md
405256e verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.07 kB
    Update README.md 7 months ago
  • added_tokens.json
    30 Bytes
    Init 7 months ago
  • config.json
    1.96 kB
    Init 7 months ago
  • model.safetensors
    1.21 GB
    xet
    Init 7 months ago
  • preprocessor_config.json
    275 Bytes
    Init 7 months ago
  • special_tokens_map.json
    96 Bytes
    Init 7 months ago
  • tokenizer_config.json
    1.1 kB
    Init 7 months ago
  • vocab.json
    441 Bytes
    Init 7 months ago