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buumba641
/
tonga_asr-wavLm-baseplus

Automatic Speech Recognition
Transformers
Safetensors
wavlm
Model card Files Files and versions
xet
Community

Instructions to use buumba641/tonga_asr-wavLm-baseplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use buumba641/tonga_asr-wavLm-baseplus with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="buumba641/tonga_asr-wavLm-baseplus")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("buumba641/tonga_asr-wavLm-baseplus")
    model = AutoModelForCTC.from_pretrained("buumba641/tonga_asr-wavLm-baseplus", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tonga_asr-wavLm-baseplus
378 MB
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  • 1 contributor
History: 3 commits
buumba641's picture
buumba641
Upload processor
16966cc verified 23 days ago
  • .gitattributes
    1.52 kB
    initial commit 23 days ago
  • README.md
    5.17 kB
    WavLM-base-plus fine-tuned on Tonga (Zambezi Voice) 23 days ago
  • added_tokens.json
    30 Bytes
    Upload processor 23 days ago
  • config.json
    2.45 kB
    WavLM-base-plus fine-tuned on Tonga (Zambezi Voice) 23 days ago
  • model.safetensors
    378 MB
    xet
    WavLM-base-plus fine-tuned on Tonga (Zambezi Voice) 23 days ago
  • processor_config.json
    300 Bytes
    Upload processor 23 days ago
  • tokenizer_config.json
    1.24 kB
    Upload processor 23 days ago
  • vocab.json
    298 Bytes
    Upload processor 23 days ago