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IABDs8a
/
lara-base-aitor-medrano

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

Instructions to use IABDs8a/lara-base-aitor-medrano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IABDs8a/lara-base-aitor-medrano with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="IABDs8a/lara-base-aitor-medrano")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("IABDs8a/lara-base-aitor-medrano")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("IABDs8a/lara-base-aitor-medrano")
  • Notebooks
  • Google Colab
  • Kaggle
lara-base-aitor-medrano
290 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
aitor-medrano's picture
aitor-medrano
Upload WhisperForConditionalGeneration
c888c94 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration about 2 years ago
  • config.json
    2.27 kB
    Upload WhisperForConditionalGeneration about 2 years ago
  • generation_config.json
    3.75 kB
    Upload WhisperForConditionalGeneration about 2 years ago
  • model.safetensors
    290 MB
    xet
    Upload WhisperForConditionalGeneration about 2 years ago