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Ansu
/
mHubert-basque-ASR

Automatic Speech Recognition
Transformers
Safetensors
Basque
hubert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Ansu/mHubert-basque-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ansu/mHubert-basque-ASR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Ansu/mHubert-basque-ASR")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Ansu/mHubert-basque-ASR")
    model = AutoModelForCTC.from_pretrained("Ansu/mHubert-basque-ASR")
  • Notebooks
  • Google Colab
  • Kaggle
mHubert-basque-ASR
1.1 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
Ansu's picture
Ansu
Update README.md
f3b281e verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.32 kB
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  • added_tokens.json
    30 Bytes
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  • config.json
    1.66 kB
    Upload HubertForCTC over 1 year ago
  • model.safetensors
    378 MB
    xet
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  • optimizer.pt
    722 MB
    xet
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  • preprocessor_config.json
    255 Bytes
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  • rng_state.pth
    14.3 kB
    xet
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  • scheduler.pt
    1.06 kB
    xet
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    1.13 kB
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  • trainer_state.json
    299 kB
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  • training_args.bin
    5.37 kB
    xet
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  • vocab.json
    356 Bytes
    Upload processor over 1 year ago