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gingercake01
/
STT0529_1000audio_base

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

Instructions to use gingercake01/STT0529_1000audio_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gingercake01/STT0529_1000audio_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gingercake01/STT0529_1000audio_base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("gingercake01/STT0529_1000audio_base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/STT0529_1000audio_base")
  • Notebooks
  • Google Colab
  • Kaggle
STT0529_1000audio_base / runs
29.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
gingercake01's picture
gingercake01
Training in progress, step 300
9f7c5a9 verified almost 2 years ago
  • May27_13-53-39_3a226f2f8ad1
    Training in progress, step 879 about 2 years ago
  • May28_09-05-31_4c2e2e61b21d
    Training in progress, step 150 about 2 years ago
  • May29_01-48-52_7de60d084772
    Training in progress, step 300 almost 2 years ago