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NbAiLabArchive
/
scream_medium_beta

Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use NbAiLabArchive/scream_medium_beta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_medium_beta")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_medium_beta")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_medium_beta")
  • Notebooks
  • Google Colab
  • Kaggle
scream_medium_beta / predictions
Ctrl+K
Ctrl+K
  • 4 contributors
History: 6 commits
pere's picture
pere
Saving weights and logs of step 24999 - epoch 3
0c591d9 almost 3 years ago
  • validation_fleurs
    Saving weights and logs of step 24999 - epoch 3 almost 3 years ago
  • validation_nrk_tv
    Saving weights and logs of step 24999 - epoch 3 almost 3 years ago
  • validation_stortinget
    Saving weights and logs of step 24999 - epoch 3 almost 3 years ago