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steja
/
whisper-large-somali

Automatic Speech Recognition
Transformers
PyTorch
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use steja/whisper-large-somali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use steja/whisper-large-somali with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="steja/whisper-large-somali")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("steja/whisper-large-somali")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("steja/whisper-large-somali", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-somali
3.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
e75be4d almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 3 years ago
  • README.md
    1.94 kB
    Librarian Bot: Add base_model information to model almost 3 years ago
  • all_results.json
    335 Bytes
    End of training over 3 years ago
  • config.json
    1 kB
    Training in progress, step 500 over 3 years ago
  • eval_results.json
    190 Bytes
    End of training over 3 years ago
  • preprocessor_config.json
    185 kB
    Training in progress, step 500 over 3 years ago
  • pytorch_model.bin
    3.09 GB
    xet
    Training in progress, step 1000 over 3 years ago
  • train_results.json
    167 Bytes
    End of training over 3 years ago
  • trainer_state.json
    5.87 kB
    End of training over 3 years ago
  • training_args.bin
    4.67 kB
    xet
    Training in progress, step 500 over 3 years ago