exasol-transformers

name	exasol-transformers
description	Deploy and use the Exasol Transformers Extension for NLP inference inside Exasol with notebook-connector. Covers initialize_te_extension, deploy_scripts, activation SQL, model-installation workflows, and the current TE SQL UDF surface.

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 private models

Validation

Validate setup with the reference flow after loading references/transformers-extension.md.

Success signals:

• the returned activation SQL is present and non-empty
• the TE setup or validation step from the reference completes without language-activation errors
• at least one TE UDF call returns rows instead of missing-language or missing-script errors

Expected failure mode:

• if DB, BucketFS, or Hugging Face settings are incomplete, initialization or UDF execution should fail until exasol-ai-setup has been completed with real values

Guidance

• Use exasol-ai-setup when secure config store, DB, or BucketFS values are still missing.
• Use exasol-bucketfs when the user needs to inspect or manipulate the uploaded SLC or model files directly.
• Use exasol-udfs when the task is about language activation or custom UDF work beyond the packaged TE surface.