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

Tobius
/
lugandawav2vec

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Ganda
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Tobius/lugandawav2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tobius/lugandawav2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Tobius/lugandawav2vec")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Tobius/lugandawav2vec")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Tobius/lugandawav2vec")
  • Notebooks
  • Google Colab
  • Kaggle
lugandawav2vec / runs
14.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
Tobius's picture
Tobius
Training in progress, step 4000
8a0a954 over 2 years ago
  • Dec27_13-21-51_3c8ce26e44c3
    Training in progress, step 500 over 2 years ago
  • Dec27_13-22-44_3c8ce26e44c3
    Training in progress, step 4000 over 2 years ago