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nvidia-nemo--speech/scripts/speech_recognition/canary/build_canary_1b_special_tokenizer.py
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chore: import upstream snapshot with attribution
2026-07-13 13:28:58 +08:00

54 lines
1.5 KiB
Python

#!/usr/bin/env python
# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
import click
from nemo.collections.common.tokenizers import CanaryTokenizer
@click.command()
@click.argument("output_dir", type=click.Path())
def main(output_dir: str) -> None:
"""
Builds the special tokens tokenizer for NVIDIA Canary-1B model.
It's intended to be used with CanaryTokenizer (a specialized AggregateTokenizer)
under name ``spl_tokens``.
"""
CanaryTokenizer.build_special_tokenizer(
[
"<|endoftext|>",
"<|startoftranscript|>",
"<|transcribe|>",
"<|translate|>",
"<|nopnc|>",
"<|pnc|>",
"<|nospeech|>",
]
+ [
"<|en|>",
"<|es|>",
"<|de|>",
"<|fr|>",
]
+ [f"<|spltoken{i}|>" for i in range(16)],
model_dir=output_dir,
force_rebuild=True,
)
if __name__ == "__main__":
main()