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waxal-benchmarking
/
mms-300m-waxal-orm

Automatic Speech Recognition
Transformers
Safetensors
Oromo
wav2vec2
african-languages
waxal
waxalnet
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use waxal-benchmarking/mms-300m-waxal-orm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="waxal-benchmarking/mms-300m-waxal-orm")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("waxal-benchmarking/mms-300m-waxal-orm")
    model = AutoModelForCTC.from_pretrained("waxal-benchmarking/mms-300m-waxal-orm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mms-300m-waxal-orm
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
Professor's picture
Professor
Add comprehensive model card (WAXALNet benchmark)
4371372 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    6.04 kB
    Add comprehensive model card (WAXALNet benchmark) about 2 months ago
  • added_tokens.json
    30 Bytes
    Upload processor 4 months ago
  • config.json
    2.06 kB
    Training in progress, step 500 4 months ago
  • model.safetensors
    1.26 GB
    xet
    End of training 4 months ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 500 4 months ago
  • processor_config.json
    299 Bytes
    Upload processor 4 months ago
  • tokenizer_config.json
    1.33 kB
    Upload processor 4 months ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, step 500 4 months ago
  • vocab.json
    993 Bytes
    Upload processor 4 months ago