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Siphh
/
wabLab2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swedish
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Siphh/wabLab2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Siphh/wabLab2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Siphh/wabLab2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Siphh/wabLab2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Siphh/wabLab2")
  • Notebooks
  • Google Colab
  • Kaggle
wabLab2 / runs
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
Siphh's picture
Siphh
Training in progress, step 4000
583cf60 over 2 years ago
  • Dec03_12-15-25_d34eda6a4d8f
    Training in progress, step 1000 over 2 years ago
  • Dec03_12-26-19_d34eda6a4d8f
    Training in progress, step 1000 over 2 years ago
  • Dec05_09-16-55_a870500c6145
    Training in progress, step 5 over 2 years ago
  • Dec05_09-23-44_a870500c6145
    Training in progress, step 5 over 2 years ago
  • Dec05_10-15-00_a870500c6145
    Training in progress, step 5 over 2 years ago
  • Dec05_10-24-21_c8c32856da40
    Training in progress, step 5 over 2 years ago
  • Dec05_10-57-20_e4b568812a17
    Training in progress, step 2 over 2 years ago
  • Dec05_12-56-00_f4ded5a40cc4
    Training in progress, step 2000 over 2 years ago
  • Dec05_21-05-18_1959d114e87c
    Training in progress, step 4000 over 2 years ago