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wbbbbb
/
wav2vec2-large-chinese-zh-cn

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Chinese
wav2vec2
pretraining
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use wbbbbb/wav2vec2-large-chinese-zh-cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wbbbbb/wav2vec2-large-chinese-zh-cn with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="wbbbbb/wav2vec2-large-chinese-zh-cn")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("wbbbbb/wav2vec2-large-chinese-zh-cn")
    model = AutoModelForMultimodalLM.from_pretrained("wbbbbb/wav2vec2-large-chinese-zh-cn")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-chinese-zh-cn
2.57 GB
Ctrl+K
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  • 2 contributors
History: 10 commits
wbbbbb's picture
wbbbbb
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b654b5f over 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • events.out.tfevents.1657844204.4b5a3e58fbcb.699120.0
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  • model.safetensors
    1.28 GB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • preprocessor_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.28 GB
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  • special_tokens_map.json
    1.77 kB
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  • vocab.json
    76.4 kB
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