1、FP16、BF16是什么?
2、使用预训练的ResNet-50模型,基于ImageNet数据集进行分类。
# 导入必要的库
import torch
import torchvision.models as models
各位老师、同学们好,我汇报的论文为《基于Sailor2和RAG的东博会新闻问答系统》。 | |
--- | |
分享由5部分组成: | |
第一部分介绍论文的研究背景; | |
第二部分介绍相关工作概述; | |
第三部分介绍问答系统的设计与实现; | |
第四部分介绍设计相应的实验对系统的各项性能指标进行评估; |
# Bird 2 configuration file for 你的ASN号 | |
# Log to syslog | |
log syslog all; | |
# Set router ID to the IP address of my VPS | |
router id 你的vps的ipv4地址; | |
# Device protocol | |
protocol device { |
export default { | |
async fetch(request, env, ctx) { | |
try { | |
// 用您要代理的 GitHub API URL 替换这个 URL | |
const url = new URL('https://api.github.com' + new URL(request.url).pathname) | |
// 克隆原始请求,但更改其 URL | |
const newRequest = new Request(url, { | |
body: request.body, | |
headers: request.headers, |
1、debian、ubuntu更新并升级软件包
apt update && apt upgrade -y
2、docker compose重新部署
docker compose down && docker compose up -d
I hereby claim:
To claim this, I am signing this object:
# Get the code
git clone --depth 1 https://github.com/supabase/supabase
# Go to the docker folder
cd supabase/docker
# Copy the fake env vars
1、debian安装pip
# 安装Python 3的pip包管理器。
apt install python3-pip
# 安装Python 3的virtualenv工具。
pip3 install virtualenv
# 使用内置venv模块创建Python虚拟环境。
python3 -m venv /root/gpt_env
<?xml version='1.0' encoding='utf-8' standalone='yes' ?> | |
<map> | |
<string name="correlation_id">t.ca4fd640-d1c8-11ed-ba8f-ae9f230380a6</string> | |
<string name="warp_public_key">twd7/7JnEyzhMP0WyijvgHmMbytAB0onh2zNA86qGi0=</string> | |
<boolean name="is_device_name_submitted" value="true" /> | |
<boolean name="missing_splits" value="false" /> | |
<boolean name="power_manager_warning_shown" value="true" /> | |
<boolean name="switch_locked" value="false" /> | |
<string name="families_block_type">NONE</string> | |
<string name="gatewayUniqueID">67529fa35c25e16e4500a160ff61dbdb</string> |
{ | |
"api": { | |
"services": [ | |
"HandlerService", | |
"LoggerService", | |
"StatsService" | |
], | |
"tag": "api" | |
}, | |
"inbounds": [ |