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Removing run_pl_glue.py from text classification docs, include run_xnli.py & run_tf_text_classification.py #10066

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Feb 8, 2021
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Removing run_pl_glue.py from text classification docs, include run_xnli.py & run_tf_text_classification.py #10066

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70501b8
Removing run_pl_glue.py from seq classification docs
cbjuan Feb 8, 2021
38104fe
Adding run_tf_text_classification.py
cbjuan Feb 8, 2021
5c9320b
Using :prefix_link: to refer local files
cbjuan Feb 8, 2021
8eaf675
Applying "make style" to the branch
cbjuan Feb 8, 2021
33abefb
Update docs/source/task_summary.rst
cbjuan Feb 8, 2021
f75c293
Removing last underscores
cbjuan Feb 8, 2021
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11 changes: 5 additions & 6 deletions docs/source/task_summary.rst
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Expand Up @@ -54,12 +54,11 @@ Sequence Classification

Sequence classification is the task of classifying sequences according to a given number of classes. An example of
sequence classification is the GLUE dataset, which is entirely based on that task. If you would like to fine-tune a
model on a GLUE sequence classification task, you may leverage the `run_glue.py
<https://github.com/huggingface/transformers/tree/master/examples/text-classification/run_glue.py>`__ and
`run_pl_glue.py
<https://github.com/huggingface/transformers/tree/master/examples/text-classification/run_pl_glue.py>`__ or
`run_tf_glue.py
<https://github.com/huggingface/transformers/tree/master/examples/text-classification/run_tf_glue.py>`__ scripts.
model on a GLUE sequence classification task, you may leverage the :prefix_link:`run_glue.py
<examples/text-classification/run_glue.py>`, :prefix_link:`run_tf_glue.py
<examples/text-classification/run_tf_glue.py>`, :prefix_link:`run_tf_text_classification.py
<examples/text-classification/run_tf_text_classification.py>` or :prefix_link:`run_xnli.py
<examples/text-classification/run_xnli.py>` scripts.

Here is an example of using pipelines to do sentiment analysis: identifying if a sequence is positive or negative. It
leverages a fine-tuned model on sst2, which is a GLUE task.
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