Update docs/source/en/tasks/mask_generation.md

Co-authored-by: Maria Khalusova <[email protected]>

docs/source/en/tasks/mask_generation.md

@@ -77,7 +77,7 @@ image = Image.open(requests.get(img_url, stream=True).raw).convert("RGB")
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 Let's segment everything. `points-per-batch` enables parallel inference of points in
-segment everything mode. This will enable faster inference, but will consume high memory.
+segment everything mode. This enables faster inference, but consumes more memory.
 Moreover, SAM only enables batching over points and not the images. `pred_iou_thresh` is
 the IoU confidence threshold where only the masks above that certain threshold are returned.