ddwkim
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asr-conformer-small-transformerlm-ksponspeech

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ddwkim commited on Apr 16

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@@ -49,8 +49,8 @@ Please notice that we encourage you to read our tutorials and learn more about
 ### Transcribing your own audio files (in Korean)
 ```python
 from speechbrain.pretrained import EncoderDecoderASR
-asr_model = EncoderDecoderASR.from_hparams(source="ddwkim/asr-conformer-transformerlm-ksponspeech", savedir="pretrained_models/asr-conformer-transformerlm-ksponspeech",  run_opts={"device":"cuda"})
-asr_model.transcribe_file("ddwkim/asr-conformer-transformerlm-ksponspeech/record_0_16k.wav")
 ```
 ### Inference on GPU
@@ -78,7 +78,7 @@ pip install .
 3. Run Training:
 ```bash
 cd recipes/KsponSpeech/ASR/transformer
-python train.py hparams/conformer_medium.yaml --data_folder=your_data_folder
 ```
 You can find our training results (models, logs, etc) at the subdirectories.

 ### Transcribing your own audio files (in Korean)
 ```python
 from speechbrain.pretrained import EncoderDecoderASR
+asr_model = EncoderDecoderASR.from_hparams(source="ddwkim/asr-conformer-small-transformerlm-ksponspeech", savedir="pretrained_models/asr-conformer-small-transformerlm-ksponspeech",  run_opts={"device":"cuda"})
+asr_model.transcribe_file("ddwkim/asr-conformer-small-transformerlm-ksponspeech/record_0_16k.wav")
 ```
 ### Inference on GPU
 3. Run Training:
 ```bash
 cd recipes/KsponSpeech/ASR/transformer
+python train.py hparams/conformer_small.yaml --data_folder=your_data_folder
 ```
 You can find our training results (models, logs, etc) at the subdirectories.