train-sentence-transformers
train-sentence-transformers is an agent skill published by huggingface, listed under training models. It lives in the huggingface/skills repository, which has 11,213 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Trains or fine-tunes sentence-transformers models including bi-encoder, cross-encoder, sparseencoder, and multivectorencoder models, supporting various loss selection, hard-negative mining, evaluators, and Hugging Face Hub publishing.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads huggingface/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add huggingface/skills
Maintenance
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
train-sentence-transformers compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| train-sentence-transformers (this page) | huggingface | Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static emb… | 11,213 | 2026-10-23 |
| hf-cloud-sagemaker-deployment-planner(same repository) | huggingface | Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants… | 11,213 | 2026-10-23 |
| hf-cloud-serving-image-selection(same repository) | huggingface | Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this sk… | 11,213 | 2026-10-23 |
| huggingface-llm-trainer(same repository) | huggingface | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with… | 11,213 | 2026-10-23 |
| huggingface-lora-space-builder(same repository) | huggingface | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to cre… | 11,213 | 2026-10-23 |
| huggingface-vision-trainer(same repository) | huggingface | Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classificat… | 11,213 | 2026-10-23 |
| trl-training(same repository) | huggingface | Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model traini… | 11,213 | 2026-10-23 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about train-sentence-transformers
- What does train-sentence-transformers do?
- Trains or fine-tunes sentence-transformers models including bi-encoder, cross-encoder, sparseencoder, and multivectorencoder models, supporting various loss selection, hard-negative mining, evaluators, and Hugging Face Hub publishing.
- How do I install train-sentence-transformers?
- Run npx skills add huggingface/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes train-sentence-transformers?
- huggingface.
- Is train-sentence-transformers maintained, and what licence does it use?
- Its repository has 11,213 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23. The repository declares the Apache-2.0 licence.
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