Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 8 additions & 2 deletions docs/inference-providers/guides/building-first-app.md
Original file line number Diff line number Diff line change
Expand Up @@ -177,9 +177,12 @@ We'll also need to implement the `transcribe` and `summarize` functions.
<hfoptions id="transcription">
<hfoption id="python">

Now let's implement the transcription using OpenAI's `whisper-large-v3` model for fast, reliable speech processing.
Now let's implement the transcription using OpenAI's `whisper-large-v3` model for fast, reliable speech processing.

<Tip>

We'll use the `auto` provider to automatically select the first available provider for the model. You can define your own priority list of providers in the [Inference Providers](https://huggingface.co/settings/inference-providers) page.

</Tip>

```python
Expand All @@ -200,9 +203,12 @@ def transcribe_audio(audio_file_path):
</hfoption>
<hfoption id="javascript">

Now let's implement the transcription using OpenAI's `whisper-large-v3` model for fast, reliable speech processing.
Now let's implement the transcription using OpenAI's `whisper-large-v3` model for fast, reliable speech processing.

<Tip>

We'll use the `auto` provider to automatically select the first available provider for the model. You can define your own priority list of providers in the [Inference Providers](https://huggingface.co/settings/inference-providers) page.

</Tip>

```javascript
Expand Down