Fix various typos found in docs (#32212)

Signed-off-by: Andrew Bennett <potatosaladx@meta.com>
This commit is contained in:
Andrew Bennett
2026-01-12 21:41:47 -06:00
committed by GitHub
parent 60b77e1463
commit f243abc92d
21 changed files with 26 additions and 26 deletions

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@@ -39,7 +39,7 @@ request. You may also choose a specific backend, along with
some options. A full set of options is available in the `vllm serve --help`
text.
Now let´s see an example for each of the cases, starting with the `choice`, as it´s the easiest one:
Now let's see an example for each of the cases, starting with the `choice`, as it's the easiest one:
??? code
@@ -126,12 +126,12 @@ The next example shows how to use the `response_format` parameter with a Pydanti
```
!!! tip
While not strictly necessary, normally it´s better to indicate in the prompt the
While not strictly necessary, normally it's better to indicate in the prompt the
JSON schema and how the fields should be populated. This can improve the
results notably in most cases.
Finally we have the `grammar` option, which is probably the most
difficult to use, but it´s really powerful. It allows us to define complete
difficult to use, but it's really powerful. It allows us to define complete
languages like SQL queries. It works by using a context free EBNF grammar.
As an example, we can use to define a specific format of simplified SQL queries:
@@ -303,7 +303,7 @@ An example of using `structural_tag` can be found here: [examples/online_serving
## Offline Inference
Offline inference allows for the same types of structured outputs.
To use it, we´ll need to configure the structured outputs using the class `StructuredOutputsParams` inside `SamplingParams`.
To use it, we'll need to configure the structured outputs using the class `StructuredOutputsParams` inside `SamplingParams`.
The main available options inside `StructuredOutputsParams` are:
- `json`