chengming

@lucifffer218 请问您是怎么重新训练word2id.pkl 我最近在考虑增加字向量的事情 但是加不进去 请问你甲方乙方的任务做成功没 我也像迁移其他领域的识别。期待得到您的回复，谢谢

@thy0621 你的格式有问题 标注的标签有缺失

> 我用了202108……的那个模型识别效果还不错。 我发现模型参数读不进来 直接四个都替换掉吗

> 我没修改，就是找了个模型，改几个配置参数，就可以跑了 您好 wenet_decoder.py 那几个参数怎么修改。可以分享一下吗 后面的参数读不进来

> @chengming1108 > > 加载模型和字典等 > > ``` > …… > ASR_model = WeNetDecoder("20210815_unified_conformer_exp/train.yaml") > with open('./test5.wav','rb') as audiostream: > for dataflow in iter(lambda:audiostream.read(4000),""): > if len(dataflow) == 0: >...

> @StephennFernandes I'm not sure if I used 2.0 or 1.13.1, but I did have to make the _six adjustment you mentioned as well. I also refactored the prepare_data script...

> Yes @chengming1108 , I was able to get some results improving the preprocessing and adjusting the hyperparameters, using a large dataset of around 80Gb. nice work~.I have about 3M...

>  how to fix? tanks a lot

> I found a way to run this command, temporarily delete the `finish_reason` filed in `fastchat/protocol/openai_api_protocol.py` and `fastchat/protocol/api_protocol.py` or change it to be string, like `**finish_reason: str**`. > > `https://github.com/lm-sys/FastChat/commit/f111a6cb72a0f5e85ebdc3eec51f1c0f328602b9`...

请问你解决了吗 我也遇到这个问题了 希望得到您的回复 谢谢