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cportoca
/
Quechua_Project_Whisper

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

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

  • Libraries
  • Transformers

    How to use cportoca/Quechua_Project_Whisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cportoca/Quechua_Project_Whisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("cportoca/Quechua_Project_Whisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("cportoca/Quechua_Project_Whisper")
  • Notebooks
  • Google Colab
  • Kaggle
Quechua_Project_Whisper / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
cportoca's picture
cportoca
Training in progress, step 4000
d2316af verified over 1 year ago
  • Nov14_15-44-00_cd4eeb18966c
    Training in progress, step 4000 over 1 year ago