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supawichwac
/
training

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

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

  • Libraries
  • Transformers

    How to use supawichwac/training with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="supawichwac/training")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("supawichwac/training")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("supawichwac/training")
  • Notebooks
  • Google Colab
  • Kaggle
training / flax /pseudo_labelling_scripts
9.17 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
supawichwac's picture
supawichwac
Saving train state of step 50
55f3766 verified about 2 years ago
  • run_librispeech_pseudo_labelling.sh
    780 Bytes
    Saving train state of step 50 about 2 years ago
  • run_librispeech_pseudo_labelling_dummy.sh
    767 Bytes
    Saving train state of step 50 about 2 years ago
  • run_pseudo_labelling.sh
    1.92 kB
    Saving train state of step 50 about 2 years ago
  • run_pseudo_labelling_2.sh
    1.41 kB
    Saving train state of step 50 about 2 years ago
  • run_pseudo_labelling_dummy_pt.sh
    765 Bytes
    Saving train state of step 50 about 2 years ago
  • run_pseudo_labelling_token_ids.sh
    2.04 kB
    Saving train state of step 50 about 2 years ago
  • run_pseudo_labelling_token_ids_2.sh
    1.49 kB
    Saving train state of step 50 about 2 years ago