diff --git a/website/docs/api/architectures.mdx b/website/docs/api/architectures.mdx
index d11e64479..afe265c9d 100644
--- a/website/docs/api/architectures.mdx
+++ b/website/docs/api/architectures.mdx
@@ -489,7 +489,7 @@ See the [usage documentation](/usage/embeddings-transformers#transformers) for
 how to integrate the architectures into your training config.
 
 When loading the model
-[from the Hugging Face Hub](/api/curated-transformer#hf_trfencoder_loader), the
+[from the Hugging Face Hub](/api/curatedtransformer#hf_trfencoder_loader), the
 model config's parameters must be same as the hyperparameters used by the
 pre-trained model. The
 [`init fill-curated-transformer`](/api/cli#init-fill-curated-transformer) CLI
diff --git a/website/docs/api/cli.mdx b/website/docs/api/cli.mdx
index 7df99ca2c..e3ac08bc6 100644
--- a/website/docs/api/cli.mdx
+++ b/website/docs/api/cli.mdx
@@ -188,7 +188,7 @@ $ python -m spacy init fill-config [base_path] [output_file] [--diff]
 ### init fill-curated-transformer {id="init-fill-curated-transformer",version="3.7",tag="command"}
 
 Auto-fill the Hugging Face model hyperpameters and loader parameters of a
-[Curated Transformer](/api/curated-transformer) pipeline component in a
+[Curated Transformer](/api/curatedtransformer) pipeline component in a
 [.cfg file](/usage/training#config). The name and revision of the Hugging Face
 can either be passed as command-line arguments or read from the
 `initialize.components.transformer.encoder_loader` config section.
diff --git a/website/docs/api/curated-transformer.mdx b/website/docs/api/curatedtransformer.mdx
similarity index 99%
rename from website/docs/api/curated-transformer.mdx
rename to website/docs/api/curatedtransformer.mdx
index 0f7caed91..304a2324f 100644
--- a/website/docs/api/curated-transformer.mdx
+++ b/website/docs/api/curatedtransformer.mdx
@@ -224,8 +224,8 @@ modifying them.
 ## CuratedTransformer.set_annotations {id="set_annotations",tag="method"}
 
 Assign the extracted features to the `Doc` objects. By default, the
-[`DocTransformerOutput`](/api/curated-transformer#doctransformeroutput) object
-is written to the [`Doc._.trf_data`](#assigned-attributes) attribute. Your
+[`DocTransformerOutput`](/api/curatedtransformer#doctransformeroutput) object is
+written to the [`Doc._.trf_data`](#assigned-attributes) attribute. Your
 `set_extra_annotations` callback is then called, if provided.
 
 > #### Example