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cminja
/
wav2vec2-sft-sr

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

Instructions to use cminja/wav2vec2-sft-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cminja/wav2vec2-sft-sr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cminja/wav2vec2-sft-sr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("cminja/wav2vec2-sft-sr")
    model = AutoModelForCTC.from_pretrained("cminja/wav2vec2-sft-sr")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-sft-sr
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
cminja's picture
cminja
Update README.md
90ef4a1 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    555 Bytes
    Update README.md about 2 years ago
  • config.json
    2.06 kB
    initial commit about 2 years ago
  • gitignore
    13 Bytes
    initial commit about 2 years ago
  • preprocessor_config.json
    214 Bytes
    initial commit about 2 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    initial commit about 2 years ago
  • special_tokens_map.json
    96 Bytes
    initial commit about 2 years ago
  • tokenizer_config.json
    236 Bytes
    initial commit about 2 years ago
  • training_args.bin
    3.25 kB
    xet
    initial commit about 2 years ago
  • vocab.json
    287 Bytes
    initial commit about 2 years ago