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7ocho
/
WMCA1-S2.0

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use 7ocho/WMCA1-S2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 7ocho/WMCA1-S2.0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="7ocho/WMCA1-S2.0")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("7ocho/WMCA1-S2.0")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("7ocho/WMCA1-S2.0", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
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    xet
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  • preprocessor_config.json
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  • tokenizer.json
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  • tokenizer_config.json
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