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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
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Christoph Auer 2025-03-19 15:01:09 +01:00
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README.md
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@ -73,17 +73,18 @@ the docs.
## CLI
Docling has built-in CLI to run conversions.
A simple example would look like this:
Docling has a built-in CLI to run conversions.
```bash
docling https://arxiv.org/pdf/2206.01062
```
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) via Docling CLI:
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) and other VLMs via Docling CLI:
```bash
docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062
```
This will use MLX acceleration on supported Apple Silicon hardware.
Read more [here](https://docling-project.github.io/docling/usage/)
## Documentation

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docs/index.md
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@ -26,7 +26,7 @@ Docling simplifies document processing, parsing diverse formats — including ad
* 🔒 Local execution capabilities for sensitive data and air-gapped environments
* 🤖 Plug-and-play [integrations][integrations] incl. LangChain, LlamaIndex, Crew AI & Haystack for agentic AI
* 🔍 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
### Coming soon

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@ -17,22 +17,20 @@ print(result.document.export_to_markdown()) # output: "### Docling Technical Re
You can also use Docling directly from your command line to convert individual files —be it local or by URL— or whole directories.
A simple example would look like this:
```console
docling https://arxiv.org/pdf/2206.01062
```
To see all available options (export formats etc.) run `docling --help`. More details in the [CLI reference page](../reference/cli.md).
### Advanced options
#### SmolDocling via CLI
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) via Docling CLI:
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) and other VLMs via Docling CLI:
```bash
docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062
```
This will use MLX acceleration on supported Apple Silicon hardware.
To see all available options (export formats etc.) run `docling --help`. More details in the [CLI reference page](../reference/cli.md).
### Advanced options
#### Model prefetching and offline usage
By default, models are downloaded automatically upon first usage. If you would prefer