Create README.md
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README.md
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---
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widget:
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- text: "ความรัก"
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---
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# Generate Thai Lyrics
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GPT2 for Thai lyrics generation. We use [GPT2 base Thai](https://huggingface.co/flax-community/gpt2-base-thai) as a pre-trained model
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for [Siamzom lyrics](https://www.siamzone.com/music/thailyric/)
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## Example use
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``` py
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from transformers import pipeline
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from transformers import GPT2Model, GPT2TokenizerFast, AutoModelForCausalLM, AutoTokenizer
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model_name = "tupleblog/generate-thai-lyrics"
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model.config.pad_token_id = model.config.eos_token_id
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nlp = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer
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)
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text = "ความรัก"
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nlp(text, max_length=100, top_k=40, temperature=0.8) # varying the temperature and top-k produce different output
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```
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