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Updated documentation
Signed-off-by: Maksym Lysak <mly@zurich.ibm.com>
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@ -26,7 +26,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
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* 🔒 Local execution capabilities for sensitive data and air-gapped environments
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* 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
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* 🔍 Extensive OCR support for scanned PDFs and images
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* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview))
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* 🥚 Support of Visual Language Models ([SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview)) 🆕
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* 💻 Simple and convenient CLI
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### Coming soon
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@ -26,6 +26,13 @@ To see all available options (export formats etc.) run `docling --help`. More de
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### Advanced options
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#### SmolDocling via CLI
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You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) via Docling CLI:
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```bash
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docling --pipeline vlm --vlm-model smoldocling tests/data/pdf/2305.03393v1-pg9.pdf
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```
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This will use MLX acceleration on supported Apple Silicon hardware.
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#### Model prefetching and offline usage
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By default, models are downloaded automatically upon first usage. If you would prefer
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