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IABDs8a
/
lara-medium-R-Equipo2

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

Instructions to use IABDs8a/lara-medium-R-Equipo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IABDs8a/lara-medium-R-Equipo2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="IABDs8a/lara-medium-R-Equipo2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("IABDs8a/lara-medium-R-Equipo2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("IABDs8a/lara-medium-R-Equipo2")
  • Notebooks
  • Google Colab
  • Kaggle
lara-medium-R-Equipo2
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  • 1 contributor
History: 2 commits
danielgi97's picture
danielgi97
Upload WhisperForConditionalGeneration
92bac0a verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration almost 2 years ago
  • config.json
    2.28 kB
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  • generation_config.json
    3.7 kB
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  • model.safetensors
    3.06 GB
    xet
    Upload WhisperForConditionalGeneration almost 2 years ago