add_special_tokens? 1: 0; FillLLMInputs(inputTokens, {{"promptLen", promptLen}, {"index", index}, {"add_special_tokens", add_special_tokens}}, inputIds, attentionMask, positionIds); while (true) { auto st = std::chrono::system_clock::now(); int ret = Forward(inputIds, ...
针对你提出的问题“keyword arguments {'add_special_tokens': false} not recognized”,我们可以按照提供的tips进行逐一分析和解答: 1. 确认add_special_tokens参数的上下文 add_special_tokens参数通常与文本处理或自然语言处理库中的tokenizer相关。在Hugging Face的transformers库中,这个参数常用于指定是否在编码文本时...
❓ Questions & Help Details When I read the code of tokenizer, I have a problem if I want to use a pretrained model in NMT task, I need to add some tag tokens, such as '2English' or '2French'. I think these tokens are special tokens, so w...
❓ Questions & Help Details When I use add_special_tokens and resize_token_embeddings to expand the vocabulary, the LM loss would become very large in gpt2 and gpt2-medium models (loaded by from_pretrained('gpt2') and from_pretrained('gpt...
add_tokens adds the given tokens on top of the vocabulary. So it allocates ids starting from the end, and expect all previous ids to have been allocated contiguously. add_special_tokens just lets the tokenizer know about special tokens in its vocabulary, adding these if they don't already...
Before this change the ADD_SPECIAL_TOKENS acted as a tristate variable where the default (not set) would be to add special tokens only if the model didn't have a chat template. However, this this default broke existing integration tests so, after some de
std::regex re(special_tokens_subpattern); std::smatch m; // Split the text by special tokens. while (std::regex_search(str, m, re)) { // Split the substrings in-between special tokens into words. gpt_split_words(m.prefix(), words); // Add matched special tokens as words. for ...