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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 ## CLI
Docling has built-in CLI to run conversions. Docling has a built-in CLI to run conversions.
A simple example would look like this:
```bash ```bash
docling https://arxiv.org/pdf/2206.01062 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 ```bash
docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062 docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062
``` ```
This will use MLX acceleration on supported Apple Silicon hardware. This will use MLX acceleration on supported Apple Silicon hardware.
Read more [here](https://docling-project.github.io/docling/usage/) Read more [here](https://docling-project.github.io/docling/usage/)
## Documentation ## Documentation

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docs/index.md
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* 🔒 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

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docs/usage/index.md
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You can also use Docling directly from your command line to convert individual files —be it local or by URL— or whole directories. 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 ```console
docling https://arxiv.org/pdf/2206.01062 docling https://arxiv.org/pdf/2206.01062
``` ```
You can also use 🥚[SmolDocling](https://huggingface.co/ds4sd/SmolDocling-256M-preview) and other VLMs via Docling CLI:
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:
```bash ```bash
docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062 docling --pipeline vlm --vlm-model smoldocling https://arxiv.org/pdf/2206.01062
``` ```
This will use MLX acceleration on supported Apple Silicon hardware. 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 #### 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