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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

duclee9x
/
wav2vec2-voa-example

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

Instructions to use duclee9x/wav2vec2-voa-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use duclee9x/wav2vec2-voa-example with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="duclee9x/wav2vec2-voa-example")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("duclee9x/wav2vec2-voa-example")
    model = AutoModelForCTC.from_pretrained("duclee9x/wav2vec2-voa-example", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-voa-example / runs
20.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
duclee9x's picture
duclee9x
add tokenizer
d9e4c81 about 4 years ago
  • May26_07-38-56_f880db399696
    add tokenizer about 4 years ago
  • May26_08-09-42_f880db399696
    add tokenizer about 4 years ago