Update README.md

README.md

@@ -19,14 +19,15 @@ The Simbolo's Myanmarsar-GPT symbol is trained on a dataset of 1 million Burmese
 ### How to use
 
 ```python
-!pip install transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-from transformers import pipeline
-
-pipe = pipeline('text-generation',model='Simbolo-Servicio/myanmar-burmese-gpt', tokenizer='Simbolo-Servicio/myanmar-burmese-gpt')
-pipe('မြန်မာဘာသာစကား')
-#
+tokenizer = AutoTokenizer.from_pretrained("Simbolo-Servicio/Myanmarsar-GPT")
+model = AutoModelForCausalLM.from_pretrained("Simbolo-Servicio/Myanmarsar-GPT")
 
+input_text = ""
+input_ids = tokenizer.encode(input_text, return_tensors='pt')
+output = model.generate(input_ids, max_length=50)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
 ```
 ### Data
 The data utilized comprises 1 million sentences sourced from Wikipedia.