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Update README.md
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README.md
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@@ -13,7 +13,8 @@ Fine-tuned (more precisely, continue trained) 50k steps model on Japanese using
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Original repos, Many thanks!:
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[S3PRL](https://github.com/s3prl/s3prl/tree/main/s3prl/pretrain)
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- Using this when training (with little modify for train using own datasets).
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Note: As same as the original, this model does not have a tokenizer as it was pretrained on audio alone. In order to use this model speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data. Check out [this blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) for more in-detail explanation of how to fine-tune the model.
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Original repos, Many thanks!:
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[S3PRL](https://github.com/s3prl/s3prl/tree/main/s3prl/pretrain)
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- Using this when training (with little modify for train using own datasets).
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+
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[distilhubert (hf)](https://huggingface.co/ntu-spml/distilhubert)
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Note: As same as the original, this model does not have a tokenizer as it was pretrained on audio alone. In order to use this model speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data. Check out [this blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) for more in-detail explanation of how to fine-tune the model.
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