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harshit345
/
wav2vec2-large-lv60-timit

Automatic Speech Recognition
Transformers
PyTorch
JAX
English
wav2vec2
audio
speech
Model card Files Files and versions
xet
Community
1

Instructions to use harshit345/wav2vec2-large-lv60-timit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use harshit345/wav2vec2-large-lv60-timit with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="harshit345/wav2vec2-large-lv60-timit")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("harshit345/wav2vec2-large-lv60-timit")
    model = AutoModelForCTC.from_pretrained("harshit345/wav2vec2-large-lv60-timit")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-lv60-timit
2.52 GB
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  • 1 contributor
History: 17 commits
harshit345's picture
harshit345
Update README.md
c03de32 over 4 years ago
  • .gitattributes
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  • README.md
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  • config.json
    1.35 kB
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  • flax_model.msgpack
    1.26 GB
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  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
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  • special_tokens_map.json
    85 Bytes
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  • tokenizer_config.json
    317 Bytes
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  • trainer_state.json
    38 kB
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  • vocab.json
    291 Bytes
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