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mjm4dl
/
simple_whisper_v0

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

Instructions to use mjm4dl/simple_whisper_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mjm4dl/simple_whisper_v0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mjm4dl/simple_whisper_v0")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("mjm4dl/simple_whisper_v0")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("mjm4dl/simple_whisper_v0")
  • Notebooks
  • Google Colab
  • Kaggle
simple_whisper_v0
3.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mjm4dl's picture
mjm4dl
Upload WhisperForConditionalGeneration
370c7df verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • config.json
    1.21 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • generation_config.json
    3.9 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • model.safetensors
    3.09 GB
    xet
    Upload WhisperForConditionalGeneration about 1 year ago