Audio-to-Audio
Transformers
English
Spanish
audio
music-generation
melody-generation
lyrics-generation
text-to-text
song
songwriting
music
Instructions to use bixoryai/opentunes-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bixoryai/opentunes-ai with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bixoryai/opentunes-ai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # OpenTunes AI Technical Notes | |
| ## Architecture | |
| OpenTunes AI uses a combination of natural language processing (NLP) and machine learning (ML) to generate music. The platform is built using the following technologies: | |
| * Python 3.9.7 | |
| * Transformers 4.17.0 | |
| * Gradio 3.0.2 | |
| ## Model Architecture | |
| The music generation model used in OpenTunes AI is a variant of the T5 model, which is a text-to-text transformer model. The model is fine-tuned on a dataset of music-related text and audio files. | |
| ## Training Data | |
| The training data for the music generation model consists of a dataset of music-related text and audio files. The dataset is curated from a variety of sources, including music websites and APIs. | |
| ## Future Work | |
| * Improve the quality of the generated music by fine-tuning the model on a larger dataset. | |
| * Add support for multiple music genres and styles. | |
| * Develop a more user-friendly interface for the Gradio app. |