Updated documentation

Signed-off-by: Maksym Lysak <mly@zurich.ibm.com>
This commit is contained in:
Maksym Lysak 2025-03-19 14:46:23 +01:00
parent e13fa5ade8
commit db5cc61494
2 changed files with 8 additions and 1 deletions

View File

@ -26,7 +26,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
* 🔒 Local execution capabilities for sensitive data and air-gapped environments * 🔒 Local execution capabilities for sensitive data and air-gapped environments
* 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI * 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
* 🔍 Extensive OCR support for scanned PDFs and images * 🔍 Extensive OCR support for scanned PDFs and images
* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) * 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) 🆕
* 💻 Simple and convenient CLI * 💻 Simple and convenient CLI
### Coming soon ### Coming soon

View File

@ -26,6 +26,13 @@ To see all available options (export formats etc.) run `docling --help`. More de
### Advanced options ### Advanced options
#### SmolDocling via CLI
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) via Docling CLI:
```bash
docling --pipeline vlm --vlm-model smoldocling tests/data/pdf/2305.03393v1-pg9.pdf
```
This will use MLX acceleration on supported Apple Silicon hardware.
#### Model prefetching and offline usage #### Model prefetching and offline usage
By default, models are downloaded automatically upon first usage. If you would prefer By default, models are downloaded automatically upon first usage. If you would prefer