纯c++的全平台llm加速库,支持python调用,chatglm-6B级模型单卡可达10000+token / s,支持glm, llama, moss基座,手机端流畅运行 - 添加add_special_tokens选项,默认true,支持chatglm · ztxz16/fastllm@9c88e68
❓ 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...
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...
In this short article, you’ll learn how to add new tokens to the vocabulary of a huggingface transformer model.
can include the special characters $ - _ . + ! * ' ( ) , % ; : @ & = can include parameters and wildcards (see Adding Path Parameters and Wildcards to Route Paths) Methods: One or more methods accepted by the back-end service, separated by commas. For example, GET, PUT. Add...
For more information about this special cache key and how to use it, see Understand the cache key. You can also use this string for the scenario described earlier. The scheduling system has some means of storing configuration data that it needs, such as when the s...
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...
❓ 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...
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
I'm really excited about the new 0.8.0 features. I'm training a custom tokenizer and have 2 tokens to add, <NUMBER> and <GENE>. When i try to add them with tokenizer.add_tokens(list(MASK_TOKENS)) and then look at the model output from to...