Huggingface Vision Trainer
插件 已验证 活跃Train and fine-tune object detection models (RTDETRv2, YOLOS, DETR and others) and image classification models (timm and transformers models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3) using Transformers Trainer API on Hugging Face Jobs infrastructure or locally. Includes COCO dataset format support, Albumentations augmentation, mAP/mAR metrics, trackio tracking, hardware selection, and Hub persistence.
To provide a seamless and powerful way for users to train and fine-tune computer vision models without managing local GPU infrastructure, leveraging Hugging Face's cloud capabilities.
功能
- Train object detection models (RTDETRv2, YOLOS, DETR)
- Train image classification models (timm, transformers)
- Train SAM/SAM2 segmentation models
- Support for COCO dataset format and Albumentations augmentation
- Integration with Hugging Face Jobs for cloud GPU training
- Automated dataset validation and Hub persistence
使用场景
- Fine-tuning object detection models on custom datasets.
- Training image classification models for specific tasks.
- Experimenting with SAM/SAM2 models for segmentation on new data.
- Leveraging cloud GPUs for computationally intensive vision model training.
非目标
- Running training jobs on local hardware (though scripts can be run locally for inspection).
- Providing a graphical user interface for model training.
- Managing or providing datasets; users must supply their own datasets on the Hub.
安装
请先添加 Marketplace
/plugin marketplace add huggingface/skills/plugin install huggingface-vision-trainer@huggingface-skills质量评分
已验证类似扩展
Autoresearch Agent
100Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).
Train Sentence Transformers
99Train or fine-tune sentence-transformers models across all three architectures: SentenceTransformer (bi-encoder embeddings), CrossEncoder (rerankers), and SparseEncoder (SPLADE). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing.
Transformers Js
96Run state-of-the-art machine learning models directly in JavaScript/TypeScript for NLP, computer vision, audio processing, and multimodal tasks. Works in Node.js and browsers with WebGPU/WASM using Hugging Face models.
PM Market Research
92Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.