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zake7749/text-to-lyric
text-to-lyric is a text generation model from zake7749. Use it when you need the model to write or continue text. It is set up for transformers.
This is the base model of zake7749/chinese-lyrics-generation-mass.
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From the Hugging Face model README
This is the base model of zake7749/chinese-lyrics-generation-mass.
from transformers import MT5ForConditionalGeneration, AutoTokenizer, Text2TextGenerationPipeline
model_name = "zake7749/text-to-lyric"
model = MT5ForConditionalGeneration.from_pretrained(model_tag)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# sentence to lyric.
text = "我吹過你吹過的晚風"
lyric = pipe(template, max_length=128, top_p=0.8, do_sample=True, repetition_penalty=1.2)[0]['generated_text']
print(f"Generated lyric: {lyric}")
# Generated lyric: 我吹過你吹過的晚風 你的溫柔讓我心醉神迷 你的笑容讓我心動不已 我們一起走過的時光 就像是陽光照耀著我們的夢 我們一起飛翔在藍天之上 在這片蒼穹下 你是我生命中最美好的風景
# keyword to lyric.
text = "青春 歌曲 歲月 黑夜"
lyric = pipe(template, max_length=128, top_p=0.8, do_sample=True, repetition_penalty=1.2)[0]['generated_text']
print(f"Generated lyric: {lyric}")
# Generated lyric: 唱著我青春的歌曲 歲月匆匆流轉 白天黑夜不停搖晃 想念你的笑容 陪伴著我的歌聲 歌聲在心中綻放 歲月無法阻擋