mirrors/docling
1
0
Fork 0
mirror of https://github.com/DS4SD/docling.git synced 2025-12-08 20:58:11 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs: fixed a few typos (#2441)

Browse Source 
Signed-off-by: Imad Saddik <79410781+ImadSaddik@users.noreply.github.com>
This commit is contained in:
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
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/usage/enrichments.md vendored
View File

@@ -16,7 +16,7 @@ The following table provides an overview of the default enrichment models availa
### Code understanding ### 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`. This enrichment model also set the `code_language` property of the `CodeItem`.
Model specs: see the [`CodeFormula` model card](https://huggingface.co/ds4sd/CodeFormula). 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( pipeline_options.picture_description_options = PictureDescriptionVlmOptions(
repo_id="", # <-- add here the Hugging Face repo_id of your favorite VLM 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 ## 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. dedicated to the implementation of enrichment models.
- [Develop picture enrichment](../examples/develop_picture_enrichment.py) - [Develop picture enrichment](../examples/develop_picture_enrichment.py)