【Faster Whisper Server:兼容OpenAI API的转录服务器,使用faster-whisper作为后端,支持GPU和CPU,易于通过Docker部署,可配置环境变量,支持流式转录和翻译】'faster-whisper-server' GitHub: github.com/fedirz/faster-whisper-server #转录# #翻译# #Docker# û收藏 79 评论 ñ38 评论 o...
# yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json site_name: Faster Whisper Server Documentation repo_url: https://github.com/fedirz/faster-whisper-server theme: language: en name: material palette: scheme: default primary: deep orange accent: indigo feature...
docker run --gpus=all --publish 8000:8000 --volume ~/.cache/huggingface:/root/.cache/huggingface fedirz/faster-whisper-server:latest-cuda # or docker run --publish 8000:8000 --volume ~/.cache/huggingface:/root/.cache/huggingface fedirz/faster-whisper-server:latest-cpu Using Docker Compose ...
(3)多路复用函数在accept之前 。 多路复用函数返回,如果可读的是serverfd,则accept,其它则read,后处理业务,这是多路复用通用的模型,也是经典的reactor模型。 ( 4)连接在单独线程中处理。 以上(1)(2)(3)都可以在检测到cliendfd可读的时候,把描述符写入另一线程(也可以是线程池)的线程消息队列,另一线程(或线程...
【Wordcab Transcribe:用faster-whisper和多尺度自适应谱聚类进行语音识别(ASR)的FastAPI服务】'Wordcab Transcribe- ASR FastAPI server using faster-whisper and Multi-Scale Auto-Tuning Spectral Clustering for diarization.' Wordcab GitHub: github.com/Wordcab/wordcab-transcribe #开源# #机器学习# û收藏 ...
pip install faster-whisper pip install-U openai-whisper faster-whisper 依赖 huggingface.co # 连接外网 ssh-D9150server # 安装pproxy pip3 install pproxy pproxy-r socks5://127.0.0.1:9150-vv# shell里启用export ALL_PROXY=http://127.0.0.1:8080...
python faster_whisper 简体中文 python perfect 本文主要讲述的是对Python中property属性(特性)的理解,具体如下。 定义及作用: 在property类中,有三个成员方法和三个装饰器函数。 三个成员方法分别是:fget、fset、fdel,它们分别用来管理属性访问; 三个装饰器函数分别是:getter、setter、deleter,它们分别用来把三个...
A staff member tells me in a whisper: "It used to be full here. Now there’s hardly anyone." Rattling around, I feel like Jack Nicholson in The Shining, the last man in an abandoned, haunted home. The most famous hotel in Dubai – the proud icon of the city – is the Burj al...
import io import os import torch from fastapi import FastAPI, UploadFile, Form from faster_whisper import WhisperModel app = FastAPI() def initialize_model(): model_path = "/models/whisper-large-v3" if torch.cuda.is_available(): print("CUDA is available") return WhisperModel("large-v2", ...
Faster Whisper Server faster-whisper-server is an OpenAI API-compatible transcription server which uses faster-whisper as its backend. Features:GPU and CPU support. Easily deployable using Docker. Configurable through environment variables (see config.py). OpenAI API compatible. Streaming support (...