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Oreoluwa
/
mms-300m-yecs_langid

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Oreoluwa/mms-300m-yecs_langid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Oreoluwa/mms-300m-yecs_langid with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Oreoluwa/mms-300m-yecs_langid")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Oreoluwa/mms-300m-yecs_langid")
    model = AutoModelForCTC.from_pretrained("Oreoluwa/mms-300m-yecs_langid", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mms-300m-yecs_langid
1.26 GB
Ctrl+K
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  • 1 contributor
History: 62 commits
Oreoluwa's picture
Oreoluwa
Upload processor
01148d8 verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 20 days ago
  • README.md
    3.09 kB
    End of training 19 days ago
  • added_tokens.json
    30 Bytes
    Upload processor 19 days ago
  • config.json
    2.04 kB
    Upload Wav2Vec2ForCTC 19 days ago
  • model.safetensors
    1.26 GB
    xet
    Training in progress, step 12505 19 days ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 500 20 days ago
  • processor_config.json
    299 Bytes
    Upload processor 19 days ago
  • tokenizer_config.json
    1.37 kB
    Upload processor 19 days ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, step 500 19 days ago
  • vocab.json
    1.31 kB
    Upload processor 19 days ago