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NbAiLabArchive
/
scream_small_beta

Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use NbAiLabArchive/scream_small_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLabArchive/scream_small_beta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_small_beta")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_small_beta")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_small_beta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
scream_small_beta / predictions /validation_nrk_tv
1.28 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 14 commits
pere's picture
pere
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