为了提升 PaddleNLP Tokenizer 模块性能,目前 PaddleNLP Tokenizer 模块已经支持使用 FastTokenizer 作为 Tokenizer 的后端加速切词阶段。在现有的 Tokenizer 加载接口中,仅需添加use_fast=True这一关键词参数,其余代码保持不变,即可加载 Fast 版本的 Tokenizer,代码示例如下:...
linux paddlenlp=2.5.2 paddlepaddle-gpu=2.4.2-post112 from paddlenlp import Taskflow 模型预测 cls = Taskflow("text_classification", task_path='checkpoint_labels2/export', is_static_model=True) result=cls(["黑苦荞茶的功效与作用及食用方法","幼儿挑食的生理原因是"]) print(result) 出现错误: gre...
Python函数大家应该不陌生，那函数中的参数是如何传递的，你知道吗？我们先看一下下面的代码，和你想的...
Stringstr="php";StringTokenizerst=newStringTokenizer(str,",");System.out.println(st.hasMoreTokens());//truewhile(st.hasMoreTokens()){System.out.println(st.nextToken());}System.out.println(st.hasMoreTokens()); staticclassFastScanner{BufferedReaderbr;StringTokenizerst;publicFastScanner(InputStreamstrea...
因此，它首先对句子进行标记化，将其截短为max_length-2（如果truncation=True），然后在开头添加[CLS]...
调用`from_pretrained`时只需轻松传入一个参数`use_fast=True`: Expand Down 2 changes: 1 addition & 1 deletion2model_zoo/ernie-3.0/deploy/serving/README.md Original file line numberDiff line numberDiff line change Expand Up@@ -36,7 +36,7 @@ pip install paddle-serving-server-gpu==0.8.3....
8 changes: 6 additions & 2 deletions 8 fast_tokenizer/README.md Original file line numberDiff line numberDiff line change @@ -113,7 +113,7 @@ print(text2) ## FAQ Q:我在 AutoTokenizer.from_pretrained 接口上已经打开 `use_fast=True` 开关,为什么文本预处理阶段性能上好像没有任何变化?
🐛 Bug Information When I try the following code: from transformers import BertTokenizerFast fast = BertTokenizerFast.from_pretrained("bert-base-cased") fast.encode_plus("Hello I am tokenizing", return_offsets_mapping=True) It works as in...
use_fast=False)# vocab size: 31999answer_or_exception(tokenizer,31999)# correctanswer_or_exception(tokenizer,32000)# wrongtokenizer=AutoTokenizer.from_pretrained("/mnt/data01/shichao/models/Llama-2-7b-chat-hf",trust_remote_code=True,use_fast=True)# vocab size: 31999answer_or_exception(tokenizer...
""" Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/pool.py", line 119, in worker result = (True, func(*args, **kwds)) File "/usr/lib/python3.6/multiprocessing/pool.py", line 44, in mapstar return list(map(*args)) File "/usr/local/lib/python3.6/dis...