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oruk
/
oruk-loop-153M

Automatic Speech Recognition
Transformers
Safetensors
English
qwen3_asr
feature-extraction
speech-recognition
asr
english
distillation
looped-transformer
parameter-sharing
qwen3-asr
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use oruk/oruk-loop-153M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oruk/oruk-loop-153M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="oruk/oruk-loop-153M", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("oruk/oruk-loop-153M", trust_remote_code=True)
    model = AutoModel.from_pretrained("oruk/oruk-loop-153M", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
oruk-loop-153M / media
5.84 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
NathanRoll's picture
NathanRoll
oruk-loop-153M: weights, inference code, model card, licenses, results, media
58b0065 verified 3 days ago
  • frontier-bulge.jpg
    103 kB
    xet
    oruk-loop-153M: weights, inference code, model card, licenses, results, media 3 days ago
  • new-frontier.jpg
    115 kB
    xet
    oruk-loop-153M: weights, inference code, model card, licenses, results, media 3 days ago
  • oruk-loop-153m-frontier.mp4
    5.58 MB
    xet
    oruk-loop-153M: weights, inference code, model card, licenses, results, media 3 days ago
  • oruk.png
    43.8 kB
    oruk-loop-153M: weights, inference code, model card, licenses, results, media 3 days ago