Update README.md

Fixing inference example

README.md

@@ -48,12 +48,15 @@ It is designed to handle the complexities of journalistic text, focusing on the
 ## 💻 Usage
 
 ```python
-from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-translator = pipeline("text2text-generation", model="Neobe/dhivehi-byt5-news-transliteration-v1")
+tokenizer = AutoTokenizer.from_pretrained("Neobe/dhivehi-byt5-thaana2latin-v1")
+model = AutoModelForSeq2SeqLM.from_pretrained("Neobe/dhivehi-byt5-thaana2latin-v1")
 
 text = "ސީރިއާގެ ކަންކަމުގެ ތެރެއަށް އިސްރާއީލް ނުވަނުމަށް ޓްރަމްޕް ގޮވާލައްވައިފި"
-result = translator(text, max_length=256)
+inputs = tokenizer(text, return_tensors="pt")
 
-print(result[0]['generated_text'])
+outputs = model.generate(**inputs, max_length=256)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 # Output: Syria ge kankamuge thereah Israel nuvanumah Trump govaalavvaifi