Default Models of the pipeline function
I made issue a on the NLP Course (https://github.com/huggingface/course/issues/561):

> In the video:
> Chapter 1 Live Session with Sylvain
> https://youtu.be/aV4wfnIakSQ?t=928
> 
> There a question of what are the default models in the pipeline library.
> His answer is to look at:
> https://github.com/huggingface/transformers/blob/main/src/transformers/pipelines/__init__.py
> 
> I think that this information should be in the chapter 1, also on the documentation

Then I was asked to make a Issue here too.

After looking the Transformers Agents also have this problem
![image](https://github.com/huggingface/transformers/assets/16890195/e98316e6-75bd-48a6-8d36-bd042347099c)


For a instance Speech to text uses Whisper but it don't say what exact version of Whisper

There more than 3000 versions of Whisper on the Models Directory
https://huggingface.co/models?search=whisper
Hi @DiogenesBR, thanks for raising this issue! 

Similar to answer in the linked video, at the moment this info is best found by looking at the source code. For example, for the [speech-to-text tool](https://github.com/huggingface/transformers/blob/918a06e25dfd6f79a20b6f07f63598c71e440161/src/transformers/tools/speech_to_text.py#L22), the checkpoint used is [openai/whisper-base](https://huggingface.co/openai/whisper-base). 

Would you be interested in opening a PR to add this information? 

cc @MKhalusova @stevhliu <|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.