Update README.md

README.md

@@ -5,4 +5,23 @@ language:
 pipeline_tag: text-generation
 ---
 
-The Simbolo's Myanmar SAR GPT symbol is trained on a dataset of 1 million Burmese data and pre-trained using the GPT-2 architecture. Its purpose is to serve as a foundational pre-trained model for the Burmese language, facilitating fine-tuning for specific applications of different tasks such as creative writing, chatbot, machine translation etc.
+The Simbolo's Myanmar SAR GPT symbol is trained on a dataset of 1 million Burmese data and pre-trained using the GPT-2 architecture. Its purpose is to serve as a foundational pre-trained model for the Burmese language, facilitating fine-tuning for specific applications of different tasks such as creative writing, chatbot, machine translation etc.
+
+
+
+### How to use
+
+```python
+!pip install transformers
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Simbolo-Servicio/myanmar-sar-gpt")
+model = AutoModelForCausalLM.from_pretrained("Simbolo-Servicio/myanmar-sar-gpt")
+
+input_text = ""
+input_ids = tokenizer.encode(input_text, return_tensors='pt')
+output = model.generate(input_ids, max_length=100)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+
+### Limitations and bias