# Huggingface spaces

We have integrated the server framework sherpa with Huggingface spaces so that you can try pre-trained models from within your browser without the need to download or install anything.

All you need is a browser, which can be run on Windows, macOS, Linux, or even on your iPad and your phone.

Start your browser and visit the following address:

https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition

and you will see a page like the following screenshot:

You can:

> 1. Select a language for recognition. Currently, we provide pre-trained models from `icefall` for the following languages: `Chinese`, `English`, and `Chinese+English`.

> 2. After selecting the target language, you can select a pre-trained model corresponding to the language.

> 3. Select the decoding method. Currently, it provides `greedy search` and `modified_beam_search`.

> 4. If you selected `modified_beam_search`, you can choose the number of active paths during the search.

> 5. Either upload a file or record your speech for recognition.

> 6. Click the button `Submit for recognition`.

> 7. Wait for a moment and you will get the recognition results.

The following screenshot shows an example when selecting `Chinese+English`:

In the bottom part of the page, you can find a table of examples. You can click one of them and then click `Submit for recognition`.

## YouTube Video

We provide the following YouTube video demonstrating how to use https://huggingface.co/spaces/k2-fsa/automatic-speech-recognition.

Note

To get the latest news of next-gen Kaldi, please subscribe the following YouTube channel by Nadira Povey:

> https://www.youtube.com/channel/UC_VaumpkmINz1pNkFXAN9mw