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Cnam-LMSSC
/
phonemizer_headset_microphone

Automatic Speech Recognition
Transformers
Safetensors
French
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Cnam-LMSSC/phonemizer_headset_microphone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cnam-LMSSC/phonemizer_headset_microphone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/phonemizer_headset_microphone")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Cnam-LMSSC/phonemizer_headset_microphone")
    model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/phonemizer_headset_microphone")
  • Notebooks
  • Google Colab
  • Kaggle
phonemizer_headset_microphone
378 MB
Ctrl+K
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  • 2 contributors
History: 9 commits
zinc75's picture
zinc75
add vibravox paper on arXiV
aa608ae verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.72 kB
    add vibravox paper on arXiV almost 2 years ago
  • added_tokens.json
    30 Bytes
    Upload standard Wav2Vec2Processor almost 2 years ago
  • config.json
    2.39 kB
    Upload Wav2Vec2ForCTC after 10 epochs almost 2 years ago
  • model.safetensors
    378 MB
    xet
    Upload Wav2Vec2ForCTC after 10 epochs almost 2 years ago
  • preprocessor_config.json
    257 Bytes
    Upload standard Wav2Vec2Processor almost 2 years ago
  • special_tokens_map.json
    548 Bytes
    Upload standard Wav2Vec2Processor almost 2 years ago
  • tokenizer_config.json
    1.1 kB
    Upload standard Wav2Vec2Processor almost 2 years ago
  • vocab.json
    410 Bytes
    Upload standard Wav2Vec2Processor almost 2 years ago