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), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
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New here? These commands run inside Claude Code, Anthropic's terminal-based coding assistant — not your regular shell. Open a terminal, type claude to start a session, then paste the two lines below inside it.
npx skills add huggingface/skills --skill "train-sentence-transformers" -a claude-code -g -yPaste into a Claude Code session. This only adds/installs the plugin — nothing runs automatically.
O, si ya vinculaste skillcat-sync, envíalo directamente — te pedirá confirmar antes de tocar nada.
This listing is sourced from huggingface/skills. The security badge above comes from a third-party audit (skills.sh) — we haven't independently executed or reviewed this code ourselves. Review the source before installing.
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