Comments (1)
Adding the user_defined_symbols to the pre-trained model is not officially supported, but possible at-your-own-risk-basis as it is stored as protobuf.
from sentencepiece.
Related Issues (20)
- Allow whitespace-only pieces
- coredump when build with CXXFLAGS `-Wp,-D_GLIBCXX_ASSERTIONS`
- Only Pretokenization HOT 3
- pip subprocess to install build dependencies did not run successfully. │ exit code: 1 HOT 1
- Windows pip Dependancy Installation Error HOT 2
- Inconsistent result between py and cpp HOT 1
- Error when running this command: pip install 'transformers[tf-cpu]' on mac HOT 1
- Support for Windows Python 3.12.2
- Is GGUF supported? HOT 1
- Treat Hawaiian Glottal stop as consonant, not punctuation HOT 4
- No make file found while build and install the Python wrapper HOT 2
- Tokenize at the word level without spacers nor joiners HOT 2
- Build sentencepiece with mingw HOT 1
- Tokenization for phonetic languages HOT 3
- Runtime error on iOS HOT 6
- Convert SentencePiece .vocab format to OpenNMT-py .onmt_vocab format HOT 1
- I want to obtain a model file using my vocab! HOT 1
- resume/restart training of tokenizer HOT 2
- How long does it take to train 31.2GB text data?
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from sentencepiece.