Examples & Tutorials

Guides to train with Jobs

Guides for using popular libraries with Jobs:

• Training with TRL on Jobs - Run SFT, GRPO, DPO and more using TRL and TRL Jobs
• Fine-tune with Unsloth on Jobs - ~2x faster training and ~60% less VRAM using Unsloth
• Transformers example scripts - UV-compatible training scripts for text classification, summarization, image classification, NER, speech recognition, and more — run directly on Jobs:

hf jobs uv run --flavor a10g-small --secrets HF_TOKEN \
  https://raw.githubusercontent.com/huggingface/transformers/main/examples/pytorch/image-classification/run_image_classification.py \
  --model_name_or_path google/vit-base-patch16-224-in21k \
  --dataset_name ethz/food101 \
  --output_dir vit-food101 \
  --push_to_hub

UV Scripts

The uv-scripts organization maintains a collection of self-contained uv scripts that run on Jobs with a single command. Scripts cover OCR, batch inference, text classification, object detection, dataset statistics, embedding visualization, and more.

Unsloth also provides ready-to-run training scripts for fine-tuning LLMs and VLMs on Jobs.

Coding Agent Skills

The hugging-face-jobs skill lets coding agents like Claude Code and Cursor submit and monitor Jobs directly from your editor.

Community Tutorials and Projects

• Train on massive datasets without downloading - Stream datasets directly on Jobs with Unsloth, no local storage needed
• Fine-tune a vision-language model with TRL - Fine-tune Qwen2.5-VL for art history tasks using TRL and Jobs
• FreeFlow - Open-source annotation platform with built-in Jobs integration for training YOLOv11 object detection models

Have a tutorial or project using Jobs? Open a PR to add it here.