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rebreda
/
moonshine-base-welsh

Automatic Speech Recognition
Transformers
Safetensors
Welsh
English
moonshine
pruned
welsh
speech-recognition
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use rebreda/moonshine-base-welsh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rebreda/moonshine-base-welsh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rebreda/moonshine-base-welsh")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("rebreda/moonshine-base-welsh")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("rebreda/moonshine-base-welsh", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
moonshine-base-welsh
107 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
rebreda's picture
rebreda
main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1
c68ab87 verified about 14 hours ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    15.1 kB
    main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1 about 14 hours ago
  • config.json
    953 Bytes
    main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1 about 14 hours ago
  • generation_config.json
    184 Bytes
    main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1 about 14 hours ago
  • model.safetensors
    106 MB
    xet
    main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1 about 14 hours ago
  • processor_config.json
    300 Bytes
    Upload moonshine-base-welsh: weights, tokenizer, config and model card 1 day ago
  • tokenizer.json
    659 kB
    main: compact model (53.2M: five loop heads off, 12,735-token vocabulary); earlier release kept on branch v1 about 14 hours ago
  • tokenizer_config.json
    264 Bytes
    Upload moonshine-base-welsh: weights, tokenizer, config and model card 1 day ago