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
File size: 927 Bytes
8d7e345 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | # 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. |