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

Shiry
/
whisper-large-ru_walk

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

Instructions to use Shiry/whisper-large-ru_walk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shiry/whisper-large-ru_walk with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Shiry/whisper-large-ru_walk")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Shiry/whisper-large-ru_walk")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Shiry/whisper-large-ru_walk")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-ru_walk / cache
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Shiry's picture
Shiry
Training in progress, step 200
1e7b9e3 about 3 years ago
  • common_voice_walkie
    Training in progress, step 200 about 3 years ago
  • cache_common_voice_walkie_ru_6.1.0_da0b466819242bff763a2319e08f49c101cf8efe6dae0d7468c3536a40b1addd.lock
    0 Bytes
    Training in progress, step 1000 about 3 years ago