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ppakji
/
wav2vec2_timit

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use ppakji/wav2vec2_timit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ppakji/wav2vec2_timit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ppakji/wav2vec2_timit")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ppakji/wav2vec2_timit")
    model = AutoModelForCTC.from_pretrained("ppakji/wav2vec2_timit")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2_timit
378 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
ppakji's picture
ppakji
add tokenizer
d6a94e6 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    2.34 kB
    add model almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    add model almost 4 years ago
  • special_tokens_map.json
    85 Bytes
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    181 Bytes
    add tokenizer almost 4 years ago
  • vocab.json
    538 Bytes
    add tokenizer almost 4 years ago