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license: mit |
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language: |
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- my |
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pipeline_tag: text-generation |
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--- |
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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. |
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### How to use |
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```python |
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!pip install transformers |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("Simbolo-Servicio/myanmar-sar-gpt") |
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model = AutoModelForCausalLM.from_pretrained("Simbolo-Servicio/myanmar-sar-gpt") |
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input_text = "" |
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input_ids = tokenizer.encode(input_text, return_tensors='pt') |
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output = model.generate(input_ids, max_length=100) |
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print(tokenizer.decode(output[0], skip_special_tokens=True)) |
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### Limitations and bias |
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