Update README.md

README.md

@@ -28,7 +28,7 @@ You can use the model directly with a pipeline for text2text generation:
 >>> model = T5ForConditionalGeneration.from_pretrained("uer/t5-small-chinese-cluecorpussmall")
 >>> text2text_generator = Text2TextGenerationPipeline(model, tokenizer)  
 >>> text2text_generator("中国的首都是extra0京", max_length=50, do_sample=False)
-    
+    [{'generated_text': 'extra0 北 extra1 extra2 extra3 extra4 extra5'}]
 ```
 
 
@@ -98,7 +98,7 @@ Finally, we convert the pre-trained model into Huggingface's format:
 ```
 python3 scripts/convert_t5_from_uer_to_huggingface.py --input_model_path cluecorpussmall_t5_seq512_model.bin-250000 \
                                                       --output_model_path pytorch_model.bin \
-                                                      --layers_num 12 \
+                                                      --layers_num 6 \
                                                       --type t5
 ```