diff --git a/docs/source/en/generation_strategies.mdx b/docs/source/en/generation_strategies.mdx
index 00ee9221fe6..ced19762f07 100644
--- a/docs/source/en/generation_strategies.mdx
+++ b/docs/source/en/generation_strategies.mdx
@@ -145,6 +145,12 @@ The `generate()` supports streaming, through its `streamer` input. The `streamer
 from a class that has the following methods: `put()` and `end()`. Internally, `put()` is used to push new tokens and
 `end()` is used to flag the end of text generation.
 
+<Tip warning={true}>
+
+The API for the streamer classes is still under development and may change in the future.
+
+</Tip>
+
 In practice, you can craft your own streaming class for all sorts of purposes! We also have basic streaming classes
 ready for you to use. For example, you can use the [`TextStreamer`] class to stream the output of `generate()` into
 your screen, one word at a time:
diff --git a/src/transformers/generation/streamers.py b/src/transformers/generation/streamers.py
index 4006256f839..979405bc136 100644
--- a/src/transformers/generation/streamers.py
+++ b/src/transformers/generation/streamers.py
@@ -39,6 +39,12 @@ class TextStreamer(BaseStreamer):
     """
     Simple text streamer that prints the token(s) to stdout as soon as entire words are formed.
 
+    <Tip warning={true}>
+
+    The API for the streamer classes is still under development and may change in the future.
+
+    </Tip>
+
     Parameters:
         tokenizer (`AutoTokenizer`):
             The tokenized used to decode the tokens.
@@ -128,6 +134,12 @@ class TextIteratorStreamer(TextStreamer):
     useful for applications that benefit from acessing the generated text in a non-blocking way (e.g. in an interactive
     Gradio demo).
 
+    <Tip warning={true}>
+
+    The API for the streamer classes is still under development and may change in the future.
+
+    </Tip>
+
     Parameters:
         tokenizer (`AutoTokenizer`):
             The tokenized used to decode the tokens.