Unify docs and convert rst to ipynb #1644
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# Conflicts: # docs/features/models/entity_extraction.rst # docs/features/models/kbqa.rst
IgnatovFedor
requested changes
Jun 6, 2023
# Conflicts: # docs/features/models/odqa.rst # docs/features/models/re.rst
IgnatovFedor
approved these changes
Oct 8, 2023
Merged
kuraga
reviewed
Nov 6, 2023
Comment on lines
+99
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+120
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "ranking([[\"Forrest Gump is a 1994 American epic comedy-drama film directed by Robert Zemeckis.\",\n", | ||
| " \"Robert Zemeckis directed Forrest Gump.\",\n", | ||
| " \"Robert Lee Zemeckis was born on May 14, 1952, in Chicago.\"]])" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "**Input:** List[List[sentence1, sentence2, ...]], where the sentences from the second to the last will be ranked by similarity with the first sentence.\n", | ||
| "\n", | ||
| "**Output:** List[List[scores]] - similarity scores to the first sentence of the sentences from the second to the last.\n", | ||
| "\n", | ||
| "### Russian" | ||
| ] | ||
| }, |
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Thanks @IgnatovFedor !
Are there plans to fix such as "output is no a code cell", "List[List[scores]] -> List[List[scores]]"?
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Write docs in unified format: 1. Introduction to the task. 2. Get started with the model. 3. Models list. 4. Use the model for prediction. 5. Customize the model.
Convert rst docs in ipynb format.