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@@ -87,11 +87,14 @@ pip install -e .
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  3. Run Training:
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  ```bash
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- cd recipes/LibriSpeech/ASR/transformer
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- python train.py hparams/conformer_large.yaml --data_folder=your_data_folder
 
 
 
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  ```
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- You can find our training results (models, logs, etc) [here](https://drive.google.com/drive/folders/1qL3P0j2Lc-LMvaF2OoL6aBE_jNwvYG3Q?usp=drive_link).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.
 
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  3. Run Training:
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  ```bash
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+ cd recipes/Tedlium2/Tokenizer
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+ python train.py hparams/tedlium2_500_bpe.yaml --data_folder /path/to/tedlium2 --clipped_utt_folder /path/to/clipped_folder
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+
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+ cd ../ASR/transformer
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+ python train.py hparams/branchformer_large.yaml --pretrained_tokenizer_file /path/to/tokenizer --data_folder /path/to/tedlium2 --clipped_utt_folder /path/to/clipped_folder
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  ```
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+ You can find our training results (models, logs, etc) [here](https://www.dropbox.com/sh/el523uofs96czfi/AADgTd838pKo2aR8fhqVOh-Oa?dl=0).
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  ### Limitations
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  The SpeechBrain team does not provide any warranty on the performance achieved by this model when used on other datasets.