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UBC-NLP
/
Simba-SLID-49

Automatic Speech Recognition
Transformers
Safetensors
hubert
audio-classification
audio
speech
african-languages
multilingual
simba
low-resource
speech-recognition
asr
spoken-language-identification
language-identification
Model card Files Files and versions
xet
Community

Instructions to use UBC-NLP/Simba-SLID-49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UBC-NLP/Simba-SLID-49 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="UBC-NLP/Simba-SLID-49")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("UBC-NLP/Simba-SLID-49")
    model = AutoModelForAudioClassification.from_pretrained("UBC-NLP/Simba-SLID-49")
  • Notebooks
  • Google Colab
  • Kaggle
Simba-SLID-49
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
elmadany's picture
elmadany
Initial model upload
4701d9d verified 3 months ago
  • .ipynb_checkpoints
    Initial model upload 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    8.17 kB
    Initial model upload 3 months ago
  • config.json
    3.38 kB
    Initial model upload 3 months ago
  • model.safetensors
    378 MB
    xet
    Initial model upload 3 months ago
  • preprocessor_config.json
    213 Bytes
    Initial model upload 3 months ago
  • trainer_state.json
    15.2 kB
    Initial model upload 3 months ago