Comments (4)
Yes it's supported, please find installation instructions here - https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/asr/asr_language_modeling.html#n-gram-language-modeling
That bash script has to be run by users as is, rather than python to install flashlight
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I followed this guide but it refers to scrips that don't exist anymore. For example the following script is not relevant already:
python eval_beamsearch_ngram.py nemo_model_file=<path to the .nemo file of the model> \
input_manifest=<path to the evaluation JSON manifest file \
kenlm_model_file=<path to the binary KenLM model> \
beam_width=[<list of the beam widths, separated with commas>] \
beam_alpha=[<list of the beam alphas, separated with commas>] \
beam_beta=[<list of the beam betas, separated with commas>] \
preds_output_folder=<optional folder to store the predictions> \
probs_cache_file=null \
decoding_mode=beamsearch_ngram \
decoding_strategy="<Beam library such as beam, pyctcdecode or flashlight>"
because there is no eval_breamsearch_ngram.py here.
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@karpnv could you update docs ?
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NeMo of previous versions has it but there are no such parameters as decoding_strategy
. I mean it can't be used as flashlight. And even in older versions of NeMo it's absent. For example in 1.18.0
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Related Issues (20)
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