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@@ -15,7 +15,7 @@ The base model pre-trained on 16kHz sampled speech audio with **Continued Pre-Tr
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  **Note**: This model does not have a tokenizer as it was pre-trained 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-xlsr-wav2vec2) for a more in-depth explanation of how to fine-tune the model.
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- **Note**: Fine-tuned version is available at [GetmanY1/wav2vec2-base-sami-22k-finetuned](https://huggingface.co/GetmanY1/wav2vec2-base-sami-22k-finetuned)
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  ## Model description
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  **Note**: This model does not have a tokenizer as it was pre-trained 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-xlsr-wav2vec2) for a more in-depth explanation of how to fine-tune the model.
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+ **Note**: Fine-tuned version is available at [GetmanY1/wav2vec2-base-sami-cont-pt-22k-finetuned](https://huggingface.co/GetmanY1/wav2vec2-base-sami-cont-pt-22k-finetuned)
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  ## Model description
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