---
license: mit
language:
- my
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.



### 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