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devkyle
/
whisper-tiny-dp-wd-v2

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

Instructions to use devkyle/whisper-tiny-dp-wd-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkyle/whisper-tiny-dp-wd-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-dp-wd-v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-dp-wd-v2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-dp-wd-v2")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-dp-wd-v2 / runs
54.2 kB
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  • 1 contributor
History: 5 commits
devkyle's picture
devkyle
Training in progress, step 1000
e558b4b verified over 1 year ago
  • Sep16_06-12-55_c022839ab943
    Training in progress, step 1000 over 1 year ago
  • Sep16_06-34-38_d5c0311ac86b
    End of training over 1 year ago
  • Sep16_06-51-57_d5c0311ac86b
    Training in progress, step 2000 over 1 year ago
  • Sep17_01-47-47_b3f97db4a34e
    Training in progress, step 1000 over 1 year ago