diff --git a/website/docs/api/tagger.md b/website/docs/api/tagger.md
index 2123004b6..f337b51fd 100644
--- a/website/docs/api/tagger.md
+++ b/website/docs/api/tagger.md
@@ -21,16 +21,12 @@ architectures and their arguments and hyperparameters.
 >
 > ```python
 > from spacy.pipeline.tagger import DEFAULT_TAGGER_MODEL
-> config = {
->    "set_morphology": False,
->    "model": DEFAULT_TAGGER_MODEL,
-> }
+> config = {"model": DEFAULT_TAGGER_MODEL}
 > nlp.add_pipe("tagger", config=config)
 > ```
 
 | Setting          | Description                                                                                                                                                                                                                                                                                            |
 | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `set_morphology` | Whether to set morphological features. Defaults to `False`. ~~bool~~                                                                                                                                                                                                                                   |
 | `model`          | A model instance that predicts the tag probabilities. The output vectors should match the number of tags in size, and be normalized as probabilities (all scores between 0 and 1, with the rows summing to `1`). Defaults to [Tagger](/api/architectures#Tagger). ~~Model[List[Doc], List[Floats2d]]~~ |
 
 ```python
@@ -63,8 +59,6 @@ shortcut for this and instantiate the component using its string name and
 | `vocab`          | The shared vocabulary. ~~Vocab~~                                                                                                                                                                                                                      |
 | `model`          | A model instance that predicts the tag probabilities. The output vectors should match the number of tags in size, and be normalized as probabilities (all scores between 0 and 1, with the rows summing to `1`). ~~Model[List[Doc], List[Floats2d]]~~ |
 | `name`           | String name of the component instance. Used to add entries to the `losses` during training. ~~str~~                                                                                                                                                   |
-| _keyword-only_   |                                                                                                                                                                                                                                                       |
-| `set_morphology` | Whether to set morphological features. ~~bool~~                                                                                                                                                                                                       |
 
 ## Tagger.\_\_call\_\_ {#call tag="method"}