SongComposer: A Large Language Model for Lyric and Melody Composition in Song Generation
Paper • 2402.17645 • Published • 1
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Mar2Ding/songcomposer_sft", trust_remote_code=True, dtype="auto")Quick Links
[ACL 2025] SongComposer
SongComposer is a language large model (LLM) based on InternLM2 for lyric and melody composition in song generation.
We release SongComposer series in two versions:
- SongComposer_pretrain: The pretrained SongComposer with InternLM2 as the initialization of the LLM, gains basic knowledge on lyric and melody.
- SongComposer_sft: The finetuned SongComposer for instruction-following song generation including lyric to melody, melody to lyric, song continuation, text to song.
Import from Transformers
To load the SongComposer_sft model using Transformers, use the following code:
from transformers import AutoTokenizer, AutoModel
ckpt_path = "Mar2Ding/songcomposer_sft"
tokenizer = AutoTokenizer.from_pretrained(ckpt_path, trust_remote_code=True)
model = AutoModel.from_pretrained(ckpt_path, trust_remote_code=True).cuda().half()
prompt = 'Create a song on brave and sacrificing with a rapid pace.'
model.inference(prompt, tokenizer)
通过 Transformers 加载
通过以下的代码加载 SongComposer_sft 模型
from transformers import AutoTokenizer, AutoModel
ckpt_path = "Mar2Ding/songcomposer_sft"
tokenizer = AutoTokenizer.from_pretrained(ckpt_path, trust_remote_code=True)
model = AutoModel.from_pretrained(ckpt_path, trust_remote_code=True).cuda().half()
prompt = 'Create a song on brave and sacrificing with a rapid pace.'
model.inference(prompt, tokenizer)
Open Source License
The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow free commercial usage.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Mar2Ding/songcomposer_sft", trust_remote_code=True)