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# paper-qa-nemotron
[](https://github.com/Future-House/paper-qa/tree/main/packages/paper-qa-nemotron) [](https://github.com/Future-House/paper-qa)  
PDF reading code backed by [Nvidia's nemotron-parse VLM](https://build.nvidia.com/nvidia/nemotron-parse).
For more info on nemotron-parse, check out:
* Technical blog:
* Hugging Face weights:
* NIM and model card:
* Support matrix:
* API docs:
* Cookbook:
* NGC catalog:
* AWS Marketplace:
## Installation
```bash
pip install paper-qa[nemotron]
# Or
pip install paper-qa-nemotron
```
If you want to prompt nemotron-parse hosted on AWS SageMaker:
```bash
pip install paper-qa-nemotron[sagemaker]
```
## Getting Started
To use nemotron-parse via the Nvidia API, set the `NVIDIA_API_KEY` environment variable.
Then to directly access the reader:
```python
from paperqa.types import ParsedText
from paperqa_nemotron import parse_pdf_to_pages
async def main(pdf_path) -> ParsedText:
return await parse_pdf_to_pages(pdf_path)
```
Or use the reader within PaperQA:
```python
from paperqa import Docs, PQASession, Settings
from paperqa_nemotron import parse_pdf_to_pages
async def main(pdf_path, question: str | PQASession) -> PQASession:
settings = Settings(parsing={"parse_pdf": parse_pdf_to_pages})
docs = Docs()
await docs.aadd(pdf_path, settings=settings)
return await docs.aquery(question, settings=settings)
```
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