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---
title: README
emoji: π
colorFrom: red
colorTo: indigo
sdk: static
pinned: false
---
# UV Scripts
**Ready-to-run ML tools powered by UV - zero setup, maximum power**
Run state-of-the-art ML workflows with a single command. From OCR to classification, all scripts work instantly with `uv run`.
## What are UV scripts?
UV scripts are self-contained Python scripts that use [inline metadata](https://docs.astral.sh/uv/guides/scripts/) to specify dependencies. Just `uv run script.py` and everything installs automatically.
Perfect for:
- π **GPU workflows** on [HF Jobs](https://huggingface.co/docs/hub/spaces-gpu-jobs)
- π» **Local processing** on your machine
- π **Reproducible pipelines** that work anywhere
## π Quick Example
```bash
# Extract text from images with state-of-the-art OCR
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
your-image-dataset \
your-extracted-text
# Or run on GPU with HF Jobs (no local GPU needed!)
hf jobs uv run --flavor l4x1 \
https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
your-images your-text
```
## π Browse Scripts
| Script Collection | Description | GPU Required |
|-------------------|-------------|--------------|
| [ocr](https://huggingface.co/datasets/uv-scripts/ocr) | Extract text from images with VLMs (LaTeX, tables, forms) | β
|
| [classification](https://huggingface.co/datasets/uv-scripts/classification) | Text classification with guaranteed valid outputs | β
|
| [dataset-creation](https://huggingface.co/datasets/uv-scripts/dataset-creation) | Create datasets from PDFs and files | β |
| [vllm](https://huggingface.co/datasets/uv-scripts/vllm) | High-performance inference with vLLM | β
|
## π― Why UV Scripts?
### Zero Setup
No virtual environments, no dependency conflicts, no installation steps. UV handles everything automatically when you run the script.
### Production Ready
These aren't demos - they're production-quality tools used by the community for real ML workflows.
### GPU Optimized
Seamlessly run on local GPUs or scale to cloud with HF Jobs. Same script, different compute.
### Community Driven
Browse scripts, contribute your own, and learn from the best practices of the ML community.
## π Featured Scripts
### OCR Any Document Dataset
Extract text from images with state-of-the-art accuracy:
```bash
# Handles LaTeX, tables, forms, handwriting
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/nanonets-ocr.py \
your-images extracted-text
```
### Classify with Guaranteed Valid Outputs
Text classification that always returns valid labels:
```bash
# Uses vLLM's structured generation - no invalid outputs!
uv run https://huggingface.co/datasets/uv-scripts/classification/raw/main/classify-dataset.py \
--input-dataset imdb --column text \
--labels "positive,negative" --output-dataset imdb-classified
```
## π Getting Started
1. **Install UV** (one-time setup):
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
2. **Run any script**:
```bash
uv run https://huggingface.co/datasets/uv-scripts/[collection]/raw/main/[script].py
```
3. **Or use HF Jobs** (no local GPU needed):
```bash
hf jobs uv run --flavor l4x1 [script-url] [args]
```
## π€ Contributing
We welcome scripts that:
- Solve real ML problems
- Include clear documentation
- Follow UV best practices
- Work on both local and cloud
Submit your scripts as PRs to the relevant collection or propose a new collection!
## π Learn More
- [UV Documentation](https://docs.astral.sh/uv/)
- [HF Jobs Guide](https://huggingface.co/docs/hub/spaces-gpu-jobs)
- [Script Examples](https://github.com/astral-sh/uv/tree/main/scripts)
---
*UV Scripts is a community project showcasing the power of [UV](https://github.com/astral-sh/uv) for ML workflows.* |