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Adding a doctest for table-question-answering pipeline. #20260

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Merged
Narsil merged 1 commit into from
Nov 16, 2022
Merged

Adding a doctest for table-question-answering pipeline. #20260

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18 changes: 18 additions & 0 deletions src/transformers/pipelines/table_question_answering.py
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Expand Up @@ -91,6 +91,24 @@ class TableQuestionAnsweringPipeline(Pipeline):
Table Question Answering pipeline using a `ModelForTableQuestionAnswering`. This pipeline is only available in
PyTorch.

Example:

```python
>>> from transformers import pipeline

>>> oracle = pipeline(model="google/tapas-base-finetuned-wtq")
>>> table = {
... "Repository": ["Transformers", "Datasets", "Tokenizers"],
... "Stars": ["36542", "4512", "3934"],
... "Contributors": ["651", "77", "34"],
... "Programming language": ["Python", "Python", "Rust, Python and NodeJS"],
... }
>>> oracle(query="How many stars does the transformers repository have?", table=table)
{'answer': 'AVERAGE > 36542', 'coordinates': [(0, 1)], 'cells': ['36542'], 'aggregator': 'AVERAGE'}
```

[Learn more about the basics of using a pipeline in the [pipeline tutorial]](../pipeline_tutorial)

This tabular question answering pipeline can currently be loaded from [`pipeline`] using the following task
identifier: `"table-question-answering"`.

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