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lsb
/
wav2vec2-base-it-latin

Automatic Speech Recognition
Transformers
PyTorch
Latin
wav2vec2
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use lsb/wav2vec2-base-it-latin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lsb/wav2vec2-base-it-latin with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lsb/wav2vec2-base-it-latin")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("lsb/wav2vec2-base-it-latin")
    model = AutoModelForCTC.from_pretrained("lsb/wav2vec2-base-it-latin", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-it-latin
378 MB
Ctrl+K
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  • 2 contributors
History: 12 commits
anton-l's picture
anton-l HF Staff
Upload README.md
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  • .gitattributes
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  • config.json
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  • preprocessor_config.json
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • training_args.bin
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  • vocab.json
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