Spaces:
Running
Running
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.* |