Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

marczenko
/
ft-sa

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use marczenko/ft-sa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marczenko/ft-sa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="marczenko/ft-sa")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("marczenko/ft-sa")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("marczenko/ft-sa")
  • Notebooks
  • Google Colab
  • Kaggle
ft-sa
967 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
marczenko's picture
marczenko
Upload WhisperForConditionalGeneration
bcd4ee7 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration almost 2 years ago
  • config.json
    2.31 kB
    Upload WhisperForConditionalGeneration almost 2 years ago
  • generation_config.json
    3.77 kB
    Upload WhisperForConditionalGeneration almost 2 years ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration almost 2 years ago