diff --git a/docs/source/add_new_model.mdx b/docs/source/add_new_model.mdx
index 08d804c9e..38e73d9b5 100644
--- a/docs/source/add_new_model.mdx
+++ b/docs/source/add_new_model.mdx
@@ -793,9 +793,19 @@ You have now finished the coding part, congratulation! 🎉 You are Awesome! 
 **12. Upload the models to the model hub**
 
 In this final part, you should convert and upload all checkpoints to the model hub and add a model card for each
-uploaded model checkpoint. You should work alongside the Hugging Face team here to decide on a fitting name for each
+uploaded model checkpoint. You can get familiar with the hub functionalities by reading our [Model sharing and uploading Page](model_sharing). You should work alongside the Hugging Face team here to decide on a fitting name for each
 checkpoint and to get the required access rights to be able to upload the model under the author's organization of
-*brand_new_bert*.
+*brand_new_bert*. The `push_to_hub` method, present in all models in `transformers`, is a quick and efficient way to push your checkpoint to the hub. A little snippet is pasted below:
+
+```python
+brand_new_bert.push_to_hub(
+    repo_path_or_name="brand_new_bert",
+    # Uncomment the following line to push to an organization
+    # organization="<ORGANIZATION>",
+    commit_message="Add model",
+    use_temp_dir=True,
+)
+```
 
 It is worth spending some time to create fitting model cards for each checkpoint. The model cards should highlight the
 specific characteristics of this particular checkpoint, *e.g.* On which dataset was the checkpoint