# deepseek-ai/DeepSeek-OCR
#### NOTE
This is a [remotely-sourced model](../remote.md#model-zoo-remote) from the
[deepseek_ocr](../../plugins/plugins_ecosystem/deepseek_ocr.html) plugin, maintained by the community.
It is not part of FiftyOne core and may have special installation requirements.
Please review the plugin documentation and license before use.
DeepSeek-OCR is an open-source vision-language model (VLM) developed by DeepSeek to perform optical character recognition (OCR) and context compression for long and complex documents.
**Details**
- Model name: `deepseek-ai/DeepSeek-OCR`
- Model source: [https://huggingface.co/deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR)
- Model author: DeepSeek
- Model license: MIT
- Exposes embeddings? no
- Tags: `detection, ocr, VLM`
**Requirements**
- Packages: `huggingface-hub, transformers==4.46.3, tokenizers==0.20.3, torch, torchvision, addict, einops`
- CPU support
- yes
- GPU support
- yes
**Example usage**
```python
import fiftyone as fo
import fiftyone.zoo as foz
foz.register_zoo_model_source("https://github.com/harpreetsahota204/deepseek_ocr")
dataset = foz.load_zoo_dataset(
"coco-2017",
split="validation",
dataset_name=fo.get_default_dataset_name(),
max_samples=50,
shuffle=True,
)
model = foz.load_zoo_model("deepseek-ai/DeepSeek-OCR")
dataset.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
```