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balaji1312
/
whisper_medium_sft_ogi_script_0_2

Automatic Speech Recognition
Transformers
Safetensors
English
whisper
child-speech
model-merging
compositional-domain-adaptation
07_scaling_laws
supervised-fine-tuning
Model card Files Files and versions
xet
Community

Instructions to use balaji1312/whisper_medium_sft_ogi_script_0_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use balaji1312/whisper_medium_sft_ogi_script_0_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="balaji1312/whisper_medium_sft_ogi_script_0_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("balaji1312/whisper_medium_sft_ogi_script_0_2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("balaji1312/whisper_medium_sft_ogi_script_0_2")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_medium_sft_ogi_script_0_2
3.06 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
balaji1312's picture
balaji1312
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  • .gitattributes
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  • README.md
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  • added_tokens.json
    34.6 kB
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  • config.json
    1.36 kB
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  • generation_config.json
    1.94 kB
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  • merges.txt
    456 kB
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  • model.safetensors
    3.06 GB
    xet
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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
    2.17 kB
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  • tokenizer.json
    3.86 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    798 kB
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