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Cnam-LMSSC
/
wav2vec2-french-phonemizer

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
French
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use Cnam-LMSSC/wav2vec2-french-phonemizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cnam-LMSSC/wav2vec2-french-phonemizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/wav2vec2-french-phonemizer")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Cnam-LMSSC/wav2vec2-french-phonemizer")
    model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/wav2vec2-french-phonemizer")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-french-phonemizer
755 MB
Ctrl+K
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  • 3 contributors
History: 47 commits
MaloOLIVIER's picture
MaloOLIVIER
Update README.md (#3)
12cd9db verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    6.3 kB
    Update README.md (#3) 5 months ago
  • added_tokens.json
    23 Bytes
    Upload Finetuned model + tokenizer + vocab files over 2 years ago
  • config.json
    2.41 kB
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  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#2) over 2 years ago
  • preprocessor_config.json
    215 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    378 MB
    xet
    Upload Finetuned model + tokenizer + vocab files over 2 years ago
  • special_tokens_map.json
    309 Bytes
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  • tokenizer_config.json
    468 Bytes
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  • vocab.json
    561 Bytes
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