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README.md
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@@ -41,6 +41,7 @@ Which will output:
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[{'generated_text': 'who _ _ researched something _ _ ?<extra_id_7> Luke',
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'QAs': [{'question': 'who researched something ?', 'answers': ['Luke']}]}]
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```
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Notice that you need to specify which word in the sentence is the predicate, about which the question will interrogate. By default, you should precede the predicate with the `<predicate>` symbol, but you can also specify your own predicate marker:
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```python
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@@ -50,5 +51,6 @@ In addition, you can specify additional kwargs for controling the model's decodi
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```python
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pipe("The student was interested in Luke 's <predicate> research about see animals .", verb_form="research", predicate_type="nominal", num_beams=3)
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```
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[{'generated_text': 'who _ _ researched something _ _ ?<extra_id_7> Luke',
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'QAs': [{'question': 'who researched something ?', 'answers': ['Luke']}]}]
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```
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You can learn more about using `transformers.pipelines` in the [official docs](https://huggingface.co/docs/transformers/main_classes/pipelines).
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Notice that you need to specify which word in the sentence is the predicate, about which the question will interrogate. By default, you should precede the predicate with the `<predicate>` symbol, but you can also specify your own predicate marker:
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```python
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```python
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pipe("The student was interested in Luke 's <predicate> research about see animals .", verb_form="research", predicate_type="nominal", num_beams=3)
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```
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