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fixed a formatting issue

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zr_jin 2023-07-23 12:24:25 +08:00 committed by jinzr
parent 8dcb6da8c7
commit 7e74c2d38b
5 changed files with 5 additions and 5 deletions
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2
egs/librispeech/ASR/lstm_transducer_stateless/export.py
View File

@ -269,7 +269,7 @@ def main():
# Load tokens.txt here
token_table = k2.SymbolTable.from_file(params.tokens)
# Load id of the <blk> token and the vocab size, <blk> is
# Load id of the <blk> token and the vocab size, <blk> is
# defined in local/train_bpe_model.py
params.blank_id = token_table["<blk>"]
params.vocab_size = num_tokens(token_table) + 1 # +1 for <blk>

2
egs/librispeech/ASR/lstm_transducer_stateless2/export-for-ncnn.py
View File

@ -224,7 +224,7 @@ def main():
# Load tokens.txt here
token_table = k2.SymbolTable.from_file(params.tokens)
# Load id of the <blk> token and the vocab size, <blk> is
# Load id of the <blk> token and the vocab size, <blk> is
# defined in local/train_bpe_model.py
params.blank_id = token_table["<blk>"]
params.vocab_size = num_tokens(token_table) + 1 # +1 for <blk>

2
egs/librispeech/ASR/lstm_transducer_stateless2/export-onnx.py
View File

@ -440,7 +440,7 @@ def main():
# Load tokens.txt here
token_table = k2.SymbolTable.from_file(params.tokens)
# Load id of the <blk> token and the vocab size, <blk> is
# Load id of the <blk> token and the vocab size, <blk> is
# defined in local/train_bpe_model.py
params.blank_id = token_table["<blk>"]
params.vocab_size = num_tokens(token_table) + 1 # +1 for <blk>

2
egs/librispeech/ASR/lstm_transducer_stateless2/export.py
View File

@ -270,7 +270,7 @@ def main():
# Load tokens.txt here
token_table = k2.SymbolTable.from_file(params.tokens)
# Load id of the <blk> token and the vocab size, <blk> is
# Load id of the <blk> token and the vocab size, <blk> is
# defined in local/train_bpe_model.py
params.blank_id = token_table["<blk>"]
params.vocab_size = num_tokens(token_table) + 1 # +1 for <blk>

2
egs/librispeech/ASR/lstm_transducer_stateless3/export.py
View File

@ -269,7 +269,7 @@ def main():
# Load tokens.txt here
token_table = k2.SymbolTable.from_file(params.tokens)
# Load id of the <blk> token and the vocab size, <blk> is
# Load id of the <blk> token and the vocab size, <blk> is
# defined in local/train_bpe_model.py
params.blank_id = token_table["<blk>"]
params.vocab_size = num_tokens(token_table) + 1 # +1 for <blk>