Automatic Speech Recognition
PEFT
TensorBoard
Safetensors
Generated from Trainer
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Update README.md

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@@ -9,7 +9,7 @@ datasets:
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  - tunis-ai/arabic_speech_corpus
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  - THCHS-30
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  model-index:
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- - name: lowhipa-base-comb
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  results: []
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  pipeline_tag: automatic-speech-recognition
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  ---
@@ -17,7 +17,7 @@ pipeline_tag: automatic-speech-recognition
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # lowhipa-base-comb
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  This Whisper-for-IPA (WhIPA) model adapter is a PEFT LoRA fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on a subset of:
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  - CommonVoice11 dataset (1k samples each from Greek, Finnish, Hungarian, Japanese, Maltese, Polish, Tamil) with G2P-based IPA transcriptions
 
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  - tunis-ai/arabic_speech_corpus
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  - THCHS-30
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  model-index:
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+ - name: lowhipa-large-comb
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  results: []
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  pipeline_tag: automatic-speech-recognition
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  ---
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # lowhipa-large-comb
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  This Whisper-for-IPA (WhIPA) model adapter is a PEFT LoRA fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on a subset of:
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  - CommonVoice11 dataset (1k samples each from Greek, Finnish, Hungarian, Japanese, Maltese, Polish, Tamil) with G2P-based IPA transcriptions