| #!/usr/bin/env python | |
| # Copyright 2020 The HuggingFace Team. 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. | |
| # this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus | |
| # 1. pip install sentencepiece | |
| # | |
| # 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt | |
| # 3. build | |
| import sentencepiece as spm | |
| # pegasus: | |
| # 1. no bos | |
| # 2. eos_id is 1 | |
| # 3. unk_id is 2 | |
| # build a sample spm file accordingly | |
| spm.SentencePieceTrainer.train('--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2 --eos_id=1 --vocab_size=1000') | |
| # 4. now update the fixture | |
| # mv test_sentencepiece_no_bos.model ../../tests/fixtures/ | |