diff --git a/pages/generative-apis/api-cli/using-embeddings-api.mdx b/pages/generative-apis/api-cli/using-embeddings-api.mdx
index e81b4e0875..e0ababda0e 100644
--- a/pages/generative-apis/api-cli/using-embeddings-api.mdx
+++ b/pages/generative-apis/api-cli/using-embeddings-api.mdx
@@ -20,13 +20,12 @@ Get a vector representation of a given input that can be easily consumed by mach
 **Request sample:**
 
 ```
-curl --request POST \
-     --url https://api.scaleway.ai/v1/embeddings \
-     --header 'Authorization: Bearer ${SCW_SECRET_KEY}' \
-     --header 'Content-Type: application/json'
-     --data '{
-     "model": "sentence-t5-xxl",
-     "input": "<string>"
+curl https://api.scaleway.ai/v1/embeddings \
+     -H "Authorization: Bearer $SCW_SECRET_KEY" \
+     -H "Content-Type: application/json" \
+     -d '{
+         "model": "bge-multilingual-gemma2",
+         "input": "Here is a sentence to embed as a vector"
      }'
 ```
 
@@ -54,4 +53,4 @@ If you have a use case requiring one of these unsupported parameters, please [co
 
 <Message type="note">
   Check our [Python code examples](/generative-apis/how-to/query-embedding-models/#querying-embedding-models-via-api) to query embedding models using Scaleway's Embeddings API.
-</Message>
\ No newline at end of file
+</Message>