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xnpx
/
wav2vec2-large-xlsr-ipa-phonemes

Automatic Speech Recognition
Transformers
Safetensors
Hindi
wav2vec2
phoneme-recognition
hindi
ipa
ctc
speech
audio
Model card Files Files and versions
xet
Community

Instructions to use xnpx/wav2vec2-large-xlsr-ipa-phonemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xnpx/wav2vec2-large-xlsr-ipa-phonemes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="xnpx/wav2vec2-large-xlsr-ipa-phonemes")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("xnpx/wav2vec2-large-xlsr-ipa-phonemes")
    model = AutoModelForCTC.from_pretrained("xnpx/wav2vec2-large-xlsr-ipa-phonemes", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xlsr-ipa-phonemes
1.26 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
xnpx's picture
xnpx
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b49467e verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.21 kB
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  • added_tokens.json
    30 Bytes
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  • config.json
    2.24 kB
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  • model.safetensors
    1.26 GB
    xet
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  • preprocessor_config.json
    256 Bytes
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    5.76 kB
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  • vocab.json
    794 Bytes
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