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

jadasdn
/
asr_model

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

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

  • Libraries
  • Transformers

    How to use jadasdn/asr_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="jadasdn/asr_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("jadasdn/asr_model")
    model = AutoModelForCTC.from_pretrained("jadasdn/asr_model")
  • Notebooks
  • Google Colab
  • Kaggle
asr_model / runs
126 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jadasdn's picture
jadasdn
jadasdn/model-v1-1
dfa6a55 over 2 years ago
  • Nov25_11-41-56_9e4830e26eb9
    jadasdn/model-v1-1 over 2 years ago
  • Nov25_11-53-10_9e4830e26eb9
    jadasdn/model-v1-1 over 2 years ago
  • Nov25_12-34-26_9e4830e26eb9
    jadasdn/model-v1-1 over 2 years ago