docs: Update multimodal notebook to use public runtime helpers#2451
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docs: Update multimodal notebook to use public runtime helpers#2451
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| " \"\"\"\n", | ||
| " # 1. Optionally fetch metadata\n", | ||
| " s = (\n", | ||
| " series._apply_unary_op(ops.obj_fetch_metadata_op)\n", |
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We don't want to expose internal functions like _apply_unary_op or ops.*.
Use external functions like bbq.to_json_string etc.
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PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release. Librarian Version: v0.7.0 Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:1a2a85ab507aea26d787c06cc7979decb117164c81dd78a745982dfda80d4f68 <details><summary>bigframes: 2.36.0</summary> ## [2.36.0](v2.35.0...v2.36.0) (2026-02-17) ### Features * Initial support for biglake iceberg tables (#2409) ([ae35a98](ae35a989)) * add bigquery.ai.generate_table function (#2453) ([b925aa2](b925aa24)) ### Documentation * fix generate_text and generate_table input docs (#2455) ([078bd32](078bd32e)) * update multimodal dataframe notebook to use public APIs (#2456) ([342fa72](342fa723)) * use direct API for pdf chunk and pdf extract (#2452) ([543ce52](543ce52c)) * use direct API for audio transcription (#2447) ([59cbc5d](59cbc5db)) * Add EXIF metadata extraction example to multimodal notebook (#2429) ([84c6f88](84c6f883)) * Update multimodal notebook to use public runtime helpers (#2451) ([e36dd8b](e36dd8b4)) </details>
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This PR updates notebooks/multimodal/multimodal_dataframe.ipynb to use public APIs (bigframes.bigquery.obj and
bigframes.bigquery.to_json_string) instead of internal operations for retrieving runtime JSON strings.
Fixes #<478952827> 🦕