diff --git a/.github/workflows/test-docs.yml b/.github/workflows/test-docs.yml
index 02219db4e1..a87f81ba20 100644
--- a/.github/workflows/test-docs.yml
+++ b/.github/workflows/test-docs.yml
@@ -45,7 +45,18 @@ jobs:
           cp assets/README.md doc_build/README.md
           sed -i "s/\[VERSION\]/${{ env.BRANCH_NAME }}/g" doc_build/index.html
           sed -i "s/\[VERSION\]/${{ env.BRANCH_NAME }}/g" doc_build/404.html
-      - name: Archive code coverage results
+      - name: Publish dev website
+        uses: datalbry/copy_folder_to_another_repo_action@1.0.0
+        env:
+          API_TOKEN_GITHUB: ${{ secrets.FLAIR_DEV_DOCS_TOKEN }}
+        with:
+          source_folder: 'doc_build'
+          destination_repo: 'flairNLP/flair-dev-docs'
+          destination_folder: '${{ env.BRANCH_NAME }}'
+          user_email: 'no-reply@github.com'
+          user_name: 'flair-automation'
+          commit_msg: 'Add docs for ${{ github.ref_name }}'
+      - name: Archive website results
         uses: actions/upload-artifact@v4
         with:
           name: website
diff --git a/flair/models/entity_linker_model.py b/flair/models/entity_linker_model.py
index 0f1c916bfb..980c60976a 100644
--- a/flair/models/entity_linker_model.py
+++ b/flair/models/entity_linker_model.py
@@ -80,9 +80,9 @@ def get_candidates(self, mention: str) -> set[str]:
 
 
 class SpanClassifier(flair.nn.DefaultClassifier[Sentence, Span]):
-    """Entity Linking Model.
+    """Span Classification Model.
 
-    The model expects text/sentences with annotated entity mentions and predicts entities to these mentions.
+    The model expects text/sentences with annotated entity mentions and classifies these mentions.
     To this end a word embedding is used to embed the sentences and the embedding of the entity mention goes through a linear layer to get the actual class label.
     The model is able to predict '<unk>' for entity mentions that the model can not confidently match to any of the known labels.
     """