transformers

Proposed changes:

• Section that tells the reader about what companies already use Haystack, this helps strengthen the horizontal relationships in the community

The inspiration is taken from the Apache Superset repository

Status (please check what you already did):

• First draft (up for discussions & feedb

欢迎您反馈PaddleNLP使用问题，非常感谢您对PaddleNLP的贡献！
在留下您的问题时，辛苦您同步提供如下信息：

• 版本、环境信息
  1）PaddleNLP和PaddlePaddle版本：请提供您的PaddleNLP和PaddlePaddle版本号，例如PaddleNLP 2.0.4，PaddlePaddle2.1.1
  2）系统环境：请您描述系统类型，例如Linux/Windows/MacOS/，python版本
• 复现信息：如为报错，请给出复现环境、复现步骤
  paddle版本2.0.8 paddlenlp版本2.1.0
  建议，能否在paddlenlp文档中，整理列出各个模型的tokenizer是基于什么类别的based，如bert tokenizer是word piece的，xlnet tokenizer是sentence piece的，以及对应的输入输出样例

Problem
Some of our transformers & estimators are not thoroughly tested or not tested at all.

Solution
Use OpTransformerSpec and OpEstimatorSpec base test specs to provide tests for all existing transformers & estimators.

Hey! Thanks for the work on this.

Wondering how we can use this with mocha? tsconfig-paths has its own tsconfig-paths/register to make this work

https://github.com/dividab/tsconfig-paths#with-mocha-and-ts-node

Basically with mocha we have to run mocha -r ts-node/register -- but that wouldnt have the compiler flag.

Would be worthwhile to have the ability to do it which looks like