Fixed the problems

Author: Your Name

docs/source/en/model_doc/moonshine.md

@@ -79,12 +79,9 @@ transcription[0]
 </hfoption>
 </hfoptions>
 
+## Resources
 
-- Moonshine improves upon Whisper's architecture:
-  1. It uses SwiGLU activation instead of GELU in the decoder layers
-  2. Most importantly, it replaces absolute position embeddings with Rotary Position Embeddings (RoPE). This allows Moonshine to handle audio inputs of any length, unlike Whisper which is restricted to fixed 30-second windows.
-
--- A guide for automatic speech recognition can be found [here](../tasks/asr)
+- [Automatic speech recognition task guide](../tasks/asr)
 
 ## MoonshineConfig
 

docs/source/en/model_doc/roc_bert.md

@@ -27,6 +27,11 @@ rendered properly in your Markdown viewer.
 You can find all the original RoCBert checkpoints under the [weiweishi](https://huggingface.co/weiweishi) profile.
 
 > [!TIP]
+<<<<<<< HEAD
+=======
+> This model was contributed by [weiweishi](https://huggingface.co/weiweishi).
+>
+>>>>>>> ce1aabd56b (Fixed Problems)
 > Click on the RoCBert models in the right sidebar for more examples of how to apply RoCBert to different Chinese language tasks.
 
 <hfoptions id="usage">