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3funnn
/
wav2vec2-base-common-voice

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use 3funnn/wav2vec2-base-common-voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 3funnn/wav2vec2-base-common-voice with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="3funnn/wav2vec2-base-common-voice")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("3funnn/wav2vec2-base-common-voice")
    model = AutoModelForCTC.from_pretrained("3funnn/wav2vec2-base-common-voice")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-common-voice
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  • 1 contributor
History: 4 commits
3funnn's picture
3funnn
Upload processor
d0ac4a5 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload tokenizer about 2 years ago
  • added_tokens.json
    30 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    2.4 kB
    Upload Wav2Vec2ForCTC about 2 years ago
  • model.safetensors
    378 MB
    xet
    Upload Wav2Vec2ForCTC about 2 years ago
  • preprocessor_config.json
    257 Bytes
    Upload processor about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.1 kB
    Upload processor about 2 years ago
  • vocab.json
    320 Bytes
    Upload tokenizer about 2 years ago