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docs: fixed a few typos (#2441)

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Signed-off-by: Imad Saddik <79410781+ImadSaddik@users.noreply.github.com>
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Imad Saddik
2025-10-13 08:04:50 +01:00
committed by GitHub
parent f7244a4333
commit 2a0f56390a
1 changed files with 3 additions and 3 deletions
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docs/usage/enrichments.md vendored
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@@ -16,7 +16,7 @@ The following table provides an overview of the default enrichment models availa
### Code understanding
The code understanding step allows to use advance parsing for code blocks found in the document.
The code understanding step allows to use advanced parsing for code blocks found in the document.
This enrichment model also set the `code_language` property of the `CodeItem`.
Model specs: see the [`CodeFormula` model card](https://huggingface.co/ds4sd/CodeFormula).
@@ -168,7 +168,7 @@ from docling.datamodel.pipeline_options import PictureDescriptionVlmOptions
pipeline_options.picture_description_options = PictureDescriptionVlmOptions(
repo_id="", # <-- add here the Hugging Face repo_id of your favorite VLM
prompt="Describe the image in three sentences. Be consise and accurate.",
prompt="Describe the image in three sentences. Be concise and accurate.",
)
```
@@ -209,7 +209,7 @@ End-to-end code snippets for cloud providers are available in the examples secti
## Develop new enrichment models
Beside looking at the implementation of all the models listed above, the Docling documentation has a few examples
Besides looking at the implementation of all the models listed above, the Docling documentation has a few examples
dedicated to the implementation of enrichment models.
- [Develop picture enrichment](../examples/develop_picture_enrichment.py)