Train Sentence Transformers
插件 已验证 活跃Train 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.
To provide a structured and comprehensive system for users to train or fine-tune sentence-transformers models across various architectures and techniques, simplifying complex ML workflows.
功能
- Supports SentenceTransformer, CrossEncoder, and SparseEncoder architectures
- Covers loss selection, hard-negative mining, and evaluators
- Includes guidance on LoRA, Matryoshka, and distillation
- Facilitates Hugging Face Hub publishing
- Provides production-ready example scripts and detailed references
使用场景
- Training sentence-transformers for retrieval, similarity search, or clustering.
- Fine-tuning models for specific downstream tasks like classification or reranking.
- Implementing SPLADE models for sparse retrieval systems.
- Exploring advanced training techniques like LoRA or distillation.
非目标
- Synthesizing training scripts from scratch without using provided templates.
- Replacing the core Hugging Face `transformers` or `sentence-transformers` libraries.
- Providing a GUI for model training.
安装
请先添加 Marketplace
/plugin marketplace add huggingface/skills/plugin install train-sentence-transformers@huggingface-skills质量评分
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