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; after update set , please restart the app
; ip:port
web_address=127.0.0.1:9977
;en or zh
lang=zh
; cpu or cuda
devtype=cuda
; int8 or float32 only gpu
cuda_com_type=int8
;Reducing these two numbers will use less graphics memory
beam_size=2
best_of=4
;vad set to false,use litter GPU memory,true is more
vad=true
;0 is use litter GPU,other is more
temperature=6
;false is litter GPU,ture is more
condition_on_previous_text=false
initial_prompt_zh=以下是普通话内容,请转录为中文简体。
有试过的么?比如半小时算长视频要识别的话32G内存+8G显存能用么【看了下faster-whisper Large-v2 模型的13分钟测试数据,4G左右的GPU+4G内存一分钟内完成识别】,不知道这里的faster-whisper Large-v3模型不知道是不是上个月huggingface发的faster-distil-whisper-large-v3,不然在github才v2。
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