huggingface-vision-trainer Skill
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format da Published by openai in plugins.
What is huggingface-vision-trainer Skill?
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format da Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Design and media
- Deployment use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use huggingface-vision-trainer Skill
- Use it for deployment.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/hugging-face/skills/vision-trainer/SKILL.md
What it does
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format da
Skill instructions
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, har
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Frequently asked questions
What is huggingface-vision-trainer?
huggingface-vision-trainer is a open-source AI agent skill with Copy skill directory. Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any.
Who is huggingface-vision-trainer best for?
huggingface-vision-trainer is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows.
How do I install huggingface-vision-trainer?
Install or run huggingface-vision-trainer using Copy skill directory. Check huggingface-vision-trainer for the latest setup command.
Is huggingface-vision-trainer actively maintained?
huggingface-vision-trainer may need a closer maintenance check before production use.
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