exasol-transformerslisted

# Exasol Transformers Extension Skill Trigger when the user mentions **Transformers Extension**, **TE extension**, **initialize_te_extension**, **deploy_scripts**, **Hugging Face models in Exasol**, **TE UDF**, **PYTHON3_TE**, or NLP inference inside Exasol. ## Purpose This skill routes notebook-connector Transformers Extension tasks to the reference material that covers TE setup, activation, validation, and the current TE SQL UDF surface. Use this skill after notebook-connector configuration already exists in the SCS (secure config store). If the required DB or BucketFS values are still missing, activate **exasol-ai-setup** first. ## Routing Algorithm 1. **Extension setup and model handling** - Trigger phrases: `initialize_te_extension`, `deploy_scripts`, `install_model`, `huggingface_token` - Load: `references/transformers-extension.md` 2. **SQL UDF usage and validation** - Trigger phrases: `TE_TEXT_GENERATION_UDF`, `TE_DELETE_MODEL_UDF`, `get_activation_sql`, `transformers sql udf` - Load: `references/transformers-extension.md` Multiple routes can apply. Load the reference before responding. ## Prerequisites The secure config store must already contain complete DB and BucketFS values. If not, activate **exasol-ai-setup** first. - DB values: `db_host_name`, `db_port`, `db_user`, `db_password`, `db_schema` - BucketFS values: `bfs_host_name`, `bfs_port`, `bfs_service`, `bfs_bucket`, `bfs_user`, `bfs_password` - optional: `huggingface_token` for gated or