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

halcyonzhou
/
wav2vec2-base

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

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

  • Libraries
  • Transformers

    How to use halcyonzhou/wav2vec2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="halcyonzhou/wav2vec2-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("halcyonzhou/wav2vec2-base")
    model = AutoModelForCTC.from_pretrained("halcyonzhou/wav2vec2-base")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
halcyonzhou's picture
halcyonzhou
End of training
aada06b verified 11 months ago
  • runs
    End of training 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2.13 kB
    End of training 11 months ago
  • config.json
    2.44 kB
    Training in progress, step 500 11 months ago
  • model.safetensors
    378 MB
    xet
    End of training 11 months ago
  • preprocessor_config.json
    267 Bytes
    Training in progress, step 500 11 months ago
  • special_tokens_map.json
    102 Bytes
    Training in progress, step 500 11 months ago
  • tokenizer_config.json
    1.23 kB
    Training in progress, step 500 11 months ago
  • training_args.bin
    5.71 kB
    xet
    Training in progress, step 500 11 months ago
  • vocab.json
    392 Bytes
    Training in progress, step 500 11 months ago