From 777f2243f56a7aa8a9ea66d330af986aa57ebd49 Mon Sep 17 00:00:00 2001 From: Nour Eddine ZEKAOUI Date: Wed, 27 Sep 2023 10:51:44 +0100 Subject: [PATCH] Update semantic_segmentation.md (#26419) --- docs/source/en/tasks/semantic_segmentation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/en/tasks/semantic_segmentation.md b/docs/source/en/tasks/semantic_segmentation.md index 6bb25e3e2e..c3ad3e00f6 100644 --- a/docs/source/en/tasks/semantic_segmentation.md +++ b/docs/source/en/tasks/semantic_segmentation.md @@ -206,7 +206,7 @@ The transform is applied on the fly which is faster and consumes less disk space ## Evaluate -Including a metric during training is often helpful for evaluating your model's performance. You can quickly load a evaluation method with the 🤗 [Evaluate](https://huggingface.co/docs/evaluate/index) library. For this task, load the [mean Intersection over Union](https://huggingface.co/spaces/evaluate-metric/accuracy) (IoU) metric (see the 🤗 Evaluate [quick tour](https://huggingface.co/docs/evaluate/a_quick_tour) to learn more about how to load and compute a metric): +Including a metric during training is often helpful for evaluating your model's performance. You can quickly load an evaluation method with the 🤗 [Evaluate](https://huggingface.co/docs/evaluate/index) library. For this task, load the [mean Intersection over Union](https://huggingface.co/spaces/evaluate-metric/accuracy) (IoU) metric (see the 🤗 Evaluate [quick tour](https://huggingface.co/docs/evaluate/a_quick_tour) to learn more about how to load and compute a metric): ```py >>> import evaluate