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CAYTU
/
whosper-large-v2

Automatic Speech Recognition
PEFT
Safetensors
Wolof
French
English
Generated from Trainer
multilingual
ASR
Open-Source
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use CAYTU/whosper-large-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use CAYTU/whosper-large-v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("openai/whisper-large-v2")
    model = PeftModel.from_pretrained(base_model, "CAYTU/whosper-large-v2")
  • Notebooks
  • Google Colab
  • Kaggle
whosper-large-v2
64.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
sudoping01's picture
sudoping01
update package installation
98966d0 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    6.19 kB
    update package installation 11 months ago
  • adapter_config.json
    876 Bytes
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  • adapter_model.safetensors
    63 MB
    xet
    End of training over 1 year ago
  • 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
    339 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • training_args.bin
    5.5 kB
    xet
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  • vocab.json
    1.04 MB
    End of training over 1 year ago