• Faker version: 8.1.2
• OS: Windows 10

For locale fr_FR siren() and siret() methods generate incorrect values.
https://faker.readthedocs.io/en/master/locales/fr_FR.html#faker.providers.company.fr_FR.Provider.siren
https://faker.readthedocs.io/en/master/locales/fr_FR.html#faker.providers.company.fr_FR.Provider.siret

A valid SIREN has 9 digits = 8 digits + 1 Luhn Key
A valid SIRET has 14

Hi! I've noticed the doc references postgres for setting up data storage (https://labelstud.io/guide/storedata.html). However, I was wondering whether it's possible to switch to other databases such as MySQL for the same task. If so, more or less how'd the process be? I'm trying to set up label-studio and the environment I'm using only allows MySQL DBs.

Thanks!

My actions before raising this issue

• Read/searched the docs
• Searched past issues

Expected Behaviour

It would be convenient for the annotators to hav

How to reproduce the behaviour

The error occurs in the Step 5/9 of the docker build process

fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.11/community/x86_64/APKINDEX.tar.gz
WARNING: Ignoring http://dl-cdn.alpinelinux.org/alpine/v3.11/main/x86_64/APKINDEX.tar.gz: BAD signature
WARNING: Ignoring http

🚀 Feature

Motivation

torchtext provide several open source nlp datasets in raw form. These datasets are provide as Iterables. Although there are times when user may prefer map-style datase

Expected Behavior

I want to convert torch.nn.Linear modules to weight drop linear modules in my model (possibly big), and I want to train my model with multi-GPUs. However, I have RuntimeError in my sample code. First, I have _weight_drop() which drops some part of weights in torch.nn.Linear (see the code below).

Actual Behavior

RuntimeError: arguments are located on different GPUs at /

Add a way to change the sample id output in the annotation process to a specific number (see picture).

Reason: I want to annotate large text and the app don't like it when the documents to annotate are too large, so I spitted in a sentence the document but I would like to be able to

建议在readme里面添加预训练模型环境变量地址修改的提示。
我之前遇到过磁盘空间不够，原因就是这个问题
但不是所有人都会debug源码去查看框架读的是哪个系统变量