"我的小名是小明"# ↓↓(字符切分)↓↓["我","的","小","名","是","小","明"]# ↓↓(词表映射)↓↓token_id"My nickname is Xiao Ming"# ↓↓(字符切分)↓↓["M","y"," ","n","i","c","k","n","a","m","e"," ","i","s"," ","X","i","a","o"," ","M"...
bool llama_should_add_bos_token(const llama_model * model); // // YAML utils //2 changes: 1 addition & 1 deletion 2 examples/infill/infill.cpp @@ -230,7 +230,7 @@ int main(int argc, char ** argv) { LOG_TEE("\n"); LOG_TEE("%s\n", get_system_info(params).c_str()...
process(encoding, pair=None, add_special_tokens=True):对指定的 encoding 执行后处理。 参数: encoding:单个句子的 encoding,类型为 tokenizer.Encoding。 pair:一对句子的 encoding,类型为 tokenizer.Encoding。 add_special_tokens:一个布尔值,指定是否添加 special token。 BertProcessing 会把[SEP] token 和[CL...
"add_bos_token": true, "add_eos_token": false, 因此,在执行print(tokenizer(example,add_special_tokens=True))时,只会添加起始符,而不会添加终止符。 这样的强制规定,可能会让人感到奇怪。但我感觉,这是为了增强工程上的便捷性: 在LLM进行instruction tuning时,文本被分为instruction和output两部分,需要分别...
bos_token=bos_token, eos_token=eos_token, unk_token=unk_token, sep_token=sep_token, cls_token=cls_token, pad_token=pad_token, mask_token=mask_token, add_prefix_space=add_prefix_space, **kwargs, ) @property def vocab_size(self): return len(self.encoder)1...
{%ifadd_generation_prompt %} {{'<start_of_turn>model\n'}} {% endif %} tokenizer.chat_template返回的脚本被压成了一行,需要手动分段才能得到上面这样有较好可读性的形式。 脚本很易读。大致是先放一个bos_token,然后遍历每段对话进行处理。最后选择是否添加<start_of_turn>model\n来引导模型生成回答(而...
"add_bos_token":true, "add_eos_token":false, "added_tokens_decoder":{ "0":{ "content":"<unk>", "lstrip":false, "normalized":false, "rstrip":false, "single_word":false, "special":true }, "1":{ "content":"", "lstrip":false, "normalized...
T5 lacks the ability to utilize a BOS token, unlike the BOS token which functions in a similar manner. This is highlighted in the documentation. It is important to remember that T5 employs the pad_token_id as the decoder_start_token_id. Therefore, when performing generation without utilizing...
tokenizer.decoder = decoders.ByteLevel(add_prefix_space=False, use_regex=True) tokenizer.post_processor = tokenizers.processors.ByteLevel(trim_offsets=False) else: raise Exception(f'token type must be `char` or `byte`, but got {token_type}') trainer...
cls_token– class token. Usually equal to bos_token unk_token– token to use for unknown tokens additional_special_tokens– list of other tokens beside standard special tokens (bos, eos, pad, etc.). For example, sentinel tokens for T5 (<extra_id_0>, <extra_id_1>, etc.) ...