Transformers
PyTorch
Safetensors
English
t5
text2text-generation
music
byt5
text-generation-inference
Instructions to use nev/byt5-song-lyrics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nev/byt5-song-lyrics with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("nev/byt5-song-lyrics") model = AutoModelForMultimodalLM.from_pretrained("nev/byt5-song-lyrics") - Notebooks
- Google Colab
- Kaggle
ByT5 Song Lyrics
This is a Seq2Seq model trained on a karaoke dataset to predict syllables with pitch and timing from song lyrics.
As of writing, the model has only been trained on 1/2 of the full dataset. Expect the quality to improve later.
The Huggingface demo seems to produce outputs with a small sequence length. So what you see on the right will only make a prediction for the first two syllables.
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