train-sentence-transformers
Trains and fine-tunes sentence-transformers models: bi-encoder embeddings, CrossEncoder rerankers and SparseEncoder models.
- Kind
- Skill
- Works with
- Claude Code
- Source
- Hugging Face Skills @ 25910b3d0ba3
- Path
- skills/train-sentence-transformers/SKILL.md
- Jobs
- Implementation
- Topics
- Machine learning, LLM apps & RAG
Credit
- Made by
- huggingface
- Original
- github.com/huggingface/skills/blob/25910b3d0ba31a2ba102f901cd…
- License
- Apache-2.0
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
hf skills add train-sentence-transformers
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/train-sentence-transformers/ (the skill folder)
- 27 file(s) the skill refers to
- Runs scripts
- Yes
- shell block in the text
- Uses the network
- Yes
- downloads Python packages
- Needs secrets
- Yes
- HF_TOKEN
- Reads environment variables
- HF_TOKEN
- Source revision
- 25910b3d0ba3
- Licence
- Apache-2.0
- Last activity
- 30 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Train a sentence-transformers Model **This SKILL.md is a router, not a manual.** It tells you which references and example scripts to load for your task. The actual content (recommended losses, evaluators, training-script structure, model selection, training-arg knobs, troubleshooting) lives in `references/` and `scripts/`. **Do not synthesize a training script from this file alone.** Open the per-type production template (`scripts/train_<type>_example.py`) and copy it as your starting point. The templates contain load-bearing scaffolding (autocast helper, model-card class, logger silencing list, `force=True`, `seed`, TF32, version-compatible imports, named-evaluator metric handling) that prior agent runs have repeatedly missed when rolling their own from a synthesized snippet. ## 1. Identify the model type | Tag | Class | What it does | When to pick | |---|---|---|---| | **[SentenceTransformer]** | `SentenceTransformer` (bi-encoder) | Maps each input to a fixed-dim dense vector | Retrieval, similarity, clustering, classification, paraphrase mining, dedup | …