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

beratcmn
/
whisper-tiny-tr

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use beratcmn/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use beratcmn/whisper-tiny-tr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="beratcmn/whisper-tiny-tr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("beratcmn/whisper-tiny-tr")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("beratcmn/whisper-tiny-tr")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-tr / runs
35.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
beratcmn's picture
beratcmn
Training in progress, step 194
d55ff7d over 2 years ago
  • Oct29_12-30-11_a3c084d3a2d7
    Training in progress, step 194 over 2 years ago