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raidavid
/
whisper-tiny-20240501

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

Instructions to use raidavid/whisper-tiny-20240501 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raidavid/whisper-tiny-20240501 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="raidavid/whisper-tiny-20240501")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("raidavid/whisper-tiny-20240501")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("raidavid/whisper-tiny-20240501")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-20240501 / runs
65.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
raidavid's picture
raidavid
Training in progress, step 500
62453af verified about 2 years ago
  • May01_15-34-50_75c7cb7064f5
    Training in progress, step 1000 about 2 years ago
  • May01_15-36-33_75c7cb7064f5
    Training in progress, step 1000 about 2 years ago
  • May02_04-22-12_f44922b7656d
    Training in progress, step 1 about 2 years ago
  • May02_05-40-52_f44922b7656d
    Training in progress, step 1 about 2 years ago
  • May02_05-42-16_f44922b7656d
    Training in progress, step 10 about 2 years ago
  • May02_05-43-59_f44922b7656d
    Training in progress, step 10 about 2 years ago
  • May02_07-43-27_328ac6a8b360
    Training in progress, step 500 about 2 years ago