Vision Model Training on Hugging Face Jobs

Vision Model Training on Hugging Face Jobs

Train object detection, image classification, and SAM/SAM2 segmentation models on managed cloud GPUs. No local GPU setup required—results are automatically saved to the Hugging Face Hub.

When to Use This Skill

Use this skill when users want to:

• Fine-tune object detection models (D-FINE, RT-DETR v2, DETR, YOLOS) on cloud GPUs or local
• Fine-tune image classification models (timm: MobileNetV3, MobileViT, ResNet, ViT/DINOv3, or any Transformers classifier) on cloud GPUs or local
• Fine-tune SAM or SAM2 models for segmentation / image matting using bbox or point prompts
• Train bounding-box detectors on custom datasets
• Train image classifiers on custom datasets
• Train segmentation models on custom mask datasets with prompts
• Run vision training jobs on Hugging Face Jobs infrastructure
• Ensure trained vision models are permanently saved to the Hub

Related Skills

• hugging-face-jobs — General HF Jobs infrastructure: token authentication, hardware flavors, timeout management, cost estimation, secrets, environment variables, scheduled jobs, and result persistence. Refer to the Jobs skill for any non-training-specific Jobs questions (e.g., "how do secrets work?", "what hardware is available?", "how do I pass tokens?").
• hugging-face-model-trainer — TRL-based language model training (SFT, DPO, GRPO). Use that skill for text/language model fine-tuning.

Local Script Execution

Helper scripts use PEP 723 inline dependencies. Run them with uv run:

uv run scripts/dataset_inspector.py --dataset username/dataset-name --split train
uv run scripts/estimate_cost.py --help

Prerequisites Checklist

Before starting any training job, verify:

Account & Authentication

• Hugging Face Account with Pro, Team, or Enterprise plan (Jobs require paid plan)
• Authenticated login: Check with hf_whoami() (tool) or hf auth whoami (terminal)
• Token has write permissions
• MUST pass token in job secrets — see directive #3 below for syntax (MCP tool vs Python API)

Dataset Requirements — Object Detection