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CoRal-project
/
roest-v3-wav2vec2-315m

Automatic Speech Recognition
Transformers
Safetensors
Danish
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use CoRal-project/roest-v3-wav2vec2-315m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CoRal-project/roest-v3-wav2vec2-315m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="CoRal-project/roest-v3-wav2vec2-315m")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("CoRal-project/roest-v3-wav2vec2-315m")
    model = AutoModelForCTC.from_pretrained("CoRal-project/roest-v3-wav2vec2-315m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roest-v3-wav2vec2-315m
1.41 GB
Ctrl+K
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  • 2 contributors
History: 10 commits
saattrupdan's picture
saattrupdan
Update README.md
beb3e79 verified 4 months ago
  • language_model
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  • .gitattributes
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  • README.md
    8.44 kB
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  • added_tokens.json
    60 Bytes
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  • alphabet.json
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  • config.json
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  • model.safetensors
    631 MB
    xet
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  • preprocessor_config.json
    262 Bytes
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  • special_tokens_map.json
    552 Bytes
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  • tokenizer_config.json
    1.11 kB
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  • vocab.json
    460 Bytes
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