hzgdeerHo

Results 25 comments of hzgdeerHo

Another way to run this model also failed and got OOM on this hardware configuration :CUDA_VISIBLE_DEVICES=0,1,2,3 python3 -m sglang.launch_server --model-path liuhaotian/llava-v1.6-34b --tokenizer-path liuhaotian/llava-v1.6-34b-tokenizer --port 30000 --tp 2

Huawei Mate 30 5G. And always got some incorrect recognition , If I used if (model.isEndpoint()) { model.reset(). But if (model.isEndpoint()) { model.reset(true).. It will be better ,but sometime I...

I tried in Xiaomi PAD , ![0cd02a5303b42845dd6e1692367600b](https://github.com/k2-fsa/sherpa-ncnn/assets/145191076/ee1b2d6c-ea91-4ef8-9b11-0c448ad4dbd9)

会漏话,漏了很多话,没有识别出来。然后if (model.isEndpoint()) { model.reset(). 还是: But if (model.isEndpoint()) { model.reset(true) 比较合适?很严重,你给的版本更严重CPU版本的可能,漏了很多语音没有识别出来

https://github.com/k2-fsa/sherpa-ncnn/assets/145191076/a52d9597-0e47-45b1-947c-79475523a37e

直接使用你的原装APP,也不行,有可能你的算法中存在VAD检测导致的话头经常不被识别

我发现有个2022年的模型不会出现这个问题,但是,识别的精准度很差。if (model.isEndpoint()) { model.reset().这种方式重置,识别的明显不能用。But if (model.isEndpoint()) { model.reset(true) 还是可以用。十个句子有两个有问题。