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Update README.md

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@@ -82,8 +82,8 @@ nest_model = EncDecDenoiseMaskedTokenPredModel.from_pretrained(model_name="nvidi
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  # use ASR as example:
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  python <NeMo Root>/examples/asr/asr_ctc/speech_to_text_ctc_bpe.py \
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  # (Optional: --config-path=<path to dir of configs> --config-name=<name of config without .yaml>) \
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- ++init_from_pretrained.name="nvidia/ssl_en_nest_xlarge_v1.0" \
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- ++init_from_pretrained.include=["encoder"] \
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  model.train_ds.manifest_filepath=<path to train manifest> \
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  model.validation_ds.manifest_filepath=<path to val/test manifest> \
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  model.tokenizer.dir=<path to directory of tokenizer (not full path to the vocab file!)> \
 
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  # use ASR as example:
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  python <NeMo Root>/examples/asr/asr_ctc/speech_to_text_ctc_bpe.py \
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  # (Optional: --config-path=<path to dir of configs> --config-name=<name of config without .yaml>) \
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+ ++init_from_pretrained.ssl.name="nvidia/ssl_en_nest_xlarge_v1.0" \
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+ ++init_from_pretrained.ssl.include=["encoder"] \
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  model.train_ds.manifest_filepath=<path to train manifest> \
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  model.validation_ds.manifest_filepath=<path to val/test manifest> \
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  model.tokenizer.dir=<path to directory of tokenizer (not full path to the vocab file!)> \