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

Vkt
/
model-facebookptbrlarge

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Vkt/model-facebookptbrlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vkt/model-facebookptbrlarge with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Vkt/model-facebookptbrlarge")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Vkt/model-facebookptbrlarge")
    model = AutoModelForCTC.from_pretrained("Vkt/model-facebookptbrlarge")
  • Notebooks
  • Google Colab
  • Kaggle
model-facebookptbrlarge / runs
60 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 105 commits
Vkt's picture
Vkt
End of training
9a4e8f4 almost 4 years ago
  • Jun07_18-44-33_dsbrwavvec2-0
    End of training almost 4 years ago