Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

dongyoungkim
/
test_bitna

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

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

  • Libraries
  • Transformers

    How to use dongyoungkim/test_bitna with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="dongyoungkim/test_bitna")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("dongyoungkim/test_bitna")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("dongyoungkim/test_bitna")
  • Notebooks
  • Google Colab
  • Kaggle
test_bitna / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
dongyoungkim's picture
dongyoungkim
Training in progress, step 900
aedbfa1 over 2 years ago
  • Oct04_05-08-41_9214b0775a53
    Training in progress, step 100 over 2 years ago
  • Oct04_05-23-40_9214b0775a53
    Training in progress, step 900 over 2 years ago