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SinQQQ
/
content

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

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

  • Libraries
  • Transformers

    How to use SinQQQ/content with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SinQQQ/content")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SinQQQ/content")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SinQQQ/content")
  • Notebooks
  • Google Colab
  • Kaggle
content / runs
21.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SinQQQ's picture
SinQQQ
Training in progress, step 5
13964a9 over 2 years ago
  • Jan02_02-27-51_68352a63f038
    Training in progress, step 5 over 2 years ago
  • Jan02_03-12-06_68352a63f038
    Training in progress, step 5 over 2 years ago
  • Jan02_03-20-23_68352a63f038
    Training in progress, step 5 over 2 years ago
  • Jan03_09-10-34_743ecbc24e0e
    Training in progress, step 5 over 2 years ago