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Selest
/
MMS_urmi_ASR_model_adapters-only_bad-results

Automatic Speech Recognition
Transformers
Safetensors
Assyrian Neo-Aramaic
wav2vec2
ctc
mms
assyrian
neo-aramaic
aramaic
syriac
urmi
urmia
Model card Files Files and versions
xet
Community

Instructions to use Selest/MMS_urmi_ASR_model_adapters-only_bad-results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Selest/MMS_urmi_ASR_model_adapters-only_bad-results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Selest/MMS_urmi_ASR_model_adapters-only_bad-results")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Selest/MMS_urmi_ASR_model_adapters-only_bad-results")
    model = AutoModelForCTC.from_pretrained("Selest/MMS_urmi_ASR_model_adapters-only_bad-results")
  • Notebooks
  • Google Colab
  • Kaggle
MMS_urmi_ASR_model_adapters-only_bad-results
3.86 GB
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  • 1 contributor
History: 2 commits
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Selest
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  • .gitattributes
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  • MODEL_INFO.json
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  • README.md
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  • added_tokens.json
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  • config.json
    2.02 kB
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  • model.safetensors
    3.86 GB
    xet
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  • preprocessor_config.json
    221 Bytes
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  • special_tokens_map.json
    134 Bytes
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  • tokenizer_config.json
    2.4 kB
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  • vocab.json
    966 kB
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