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@@ -68,7 +68,7 @@ To perform inference on the GPU, add `run_opts={"device":"cuda"}` when calling
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  ### Training
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- The model was trained with SpeechBrain (Hash).
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  To train it from scratch follows these steps:
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  1. Clone SpeechBrain:
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  ```bash
@@ -83,11 +83,11 @@ pip install -e .
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  3. Run Training:
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  ```
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- cd recipes/LibriSpeech/ASR/seq2seq/
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- python train.py hparams/train.yaml --data_folder=your_data_folder
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  ```
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- You can find our training results (models, logs, etc) [here]()
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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.
@@ -102,7 +102,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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- howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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  ### Training
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+ The model was trained with SpeechBrain (986a2175).
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  To train it from scratch follows these steps:
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  1. Clone SpeechBrain:
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  ```bash
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  3. Run Training:
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  ```
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+ cd recipes/CommonVoice/ASR/seq2seq
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+ python train.py hparams/train_fr.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/13i7rdgVX7-qZ94Rtj6OdUgU-S6BbKKvw?usp=sharing)
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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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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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