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Examples readme.md (#4215)

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Julien Chaumond
2020-05-07 15:00:06 -04:00
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@@ -45,7 +45,7 @@ Sequence classification is the task of classifying sequences according to a give
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>`_ or
`run_tf_glue.py <https://github.com/huggingface/transformers/tree/master/examples/run_tf_glue.py>`_ scripts.
`run_tf_glue.py <https://github.com/huggingface/transformers/tree/master/examples/text-classification/run_tf_glue.py>`_ scripts.
Here is an example using the pipelines do to sentiment analysis: identifying if a sequence is positive or negative.
It leverages a fine-tuned model on sst2, which is a GLUE task.