This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
Paper: Neural Machine Translation of Rare Words with Subword Units BPE是一种自动从字母搜索词表(含有子词)的算法。 这个名字其实起的不好,叫Char-Pair会好很多,因为很容易和Byte-Level BPE的"Byte-Level"搞混。BPE的Byte实际上指的是单个字符,因为英文的单个字符恰好用一个Byte所以才叫了BPE. BPE算法演示 ...
现有的codeLM一般使用语料库训练一个词汇量30k～50k的subtokenizer,在subtokenize之前也会做一些诸如把换行符标记成<NEW_LINE>,按空格/符号分开这样的预处理,例如 for i in range(5) 分成 for, i, in, range, (, 5, ) 虽然for i in是一个非常common的语句 作者尝试使用不同的tokenize的粒度设置,如下图(...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
was popularized for LLMs by theGPT-2 paperand the associated GPT-2code releasefrom OpenAI.Sennrich et al. 2015is cited as the original reference for the use of BPE in NLP applications. Today, all modern LLMs (e.g. GPT, Llama, Mistral) use this algorithm to train their tokenizers. ...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...
This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. minbpe/gpt4.py: Implements the GPT4Tokenizer. This class is a light wrapper around the RegexTokenizer (2, above) that exactly reproduces the tokenization of...