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johntsi
/
ZeroSwot-Medium_asr-mustc_en-to-200

Automatic Speech Recognition
Transformers
Safetensors
zero_swot_encoder
feature-extraction
zeroswot
speech translation
zero-shot
end-to-end
nllb
wav2vec2
custom_code
Model card Files Files and versions
xet
Community

Instructions to use johntsi/ZeroSwot-Medium_asr-mustc_en-to-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use johntsi/ZeroSwot-Medium_asr-mustc_en-to-200 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="johntsi/ZeroSwot-Medium_asr-mustc_en-to-200", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("johntsi/ZeroSwot-Medium_asr-mustc_en-to-200", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ZeroSwot-Medium_asr-mustc_en-to-200 / resources
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  • 1 contributor
History: 1 commit
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johntsi
Resources
30d1714 about 2 years ago
  • intro.png
    204 kB
    Resources about 2 years ago
  • methodology.png
    385 kB
    Resources about 2 years ago
  • sample.wav
    44.2 kB
    Resources about 2 years ago