fix copies

src/transformers/models/musicgen_melody/modeling_musicgen_melody.py

@@ -1507,26 +1507,20 @@ def from_sub_models_pretrained(
                 Information necessary to initiate the text encoder. Can be either:
 
                     - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co.
-                      Valid model ids can be located at the root-level, like `t5-base`, or namespaced under a user or
-                      organization name, like `google/flan-t5-base.
                     - A path to a *directory* containing model weights saved using
                       [`~PreTrainedModel.save_pretrained`], e.g., `./my_model_directory/`.
 
             audio_encoder_pretrained_model_name_or_path (`str`, *optional*):
                 Information necessary to initiate the audio encoder. Can be either:
 
                     - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co.
-                      Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a
-                      user or organization name, like `facebook/encodec_24khz`.
                     - A path to a *directory* containing model weights saved using
                       [`~PreTrainedModel.save_pretrained`], e.g., `./my_model_directory/`.
 
             decoder_pretrained_model_name_or_path (`str`, *optional*, defaults to `None`):
                 Information necessary to initiate the decoder. Can be either:
 
                     - A string, the *model id* of a pretrained model hosted inside a model repo on huggingface.co.
-                      Valid model ids can be located at the root-level, like `gpt2`, or namespaced under a user or
-                      organization name, like `facebook/musicgen-melody`.
                     - A path to a *directory* containing model weights saved using
                       [`~PreTrainedModel.save_pretrained`], e.g., `./my_model_directory/`.
 
@@ -1553,7 +1547,7 @@ def from_sub_models_pretrained(
 
         >>> # initialize a musicgen model from a t5 text encoder, encodec audio encoder, and musicgen decoder
         >>> model = MusicgenMelodyForConditionalGeneration.from_sub_models_pretrained(
-        ...     text_encoder_pretrained_model_name_or_path="t5-base",
+        ...     text_encoder_pretrained_model_name_or_path="google-t5/t5-base",
         ...     audio_encoder_pretrained_model_name_or_path="facebook/encodec_24khz",
         ...     decoder_pretrained_model_name_or_path="facebook/musicgen-melody",
         ... )