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Be-win
/
whisper-medium-malayalam

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use Be-win/whisper-medium-malayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Be-win/whisper-medium-malayalam with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-medium")
    model = PeftModel.from_pretrained(base_model, "Be-win/whisper-medium-malayalam")
  • Transformers

    How to use Be-win/whisper-medium-malayalam with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Be-win/whisper-medium-malayalam", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-malayalam
43.5 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Be-win's picture
Be-win
Upload 11 files
1dcc90a verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    5.17 kB
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  • adapter_config.json
    1.01 kB
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  • adapter_model.safetensors
    37.8 MB
    xet
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  • added_tokens.json
    34.6 kB
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  • merges.txt
    494 kB
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    356 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    836 kB
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