Update README.md

README.md

@@ -1,9 +1,8 @@
 ---
 library_name: transformers
 tags:
-- text-generation
-- causal-lm
-pipeline_tag: text-generation
+- text2text-generation
+pipeline_tag: text2text-generation
 ---
 
 # Your Model Name
@@ -13,11 +12,11 @@ This model is designed for text generation tasks.
 ## Example Usage
 
 ```python
-from transformers import AutoTokenizer, AutoModelForCausalLM
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-tokenizer = AutoTokenizer.from_pretrained("your-username/your-model-repo")
-model = AutoModelForCausalLM.from_pretrained("your-username/your-model-repo")
+tokenizer = AutoTokenizer.from_pretrained("umisato/mt5-base-kirakira-names")
+model = AutoModelForSeq2SeqLM.from_pretrained("umisato/mt5-base-kirakira-names")
 
-inputs = tokenizer("Hello, how are you?", return_tensors="pt")
+inputs = tokenizer("your-input(kanji)", return_tensors="pt")
 outputs = model.generate(**inputs)
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))