L
llark
spotify-research/llark
Code for the paper "LLark: A Multimodal Instruction-Following Language Model for Music" by Josh Gardner, Simon Durand, Daniel Stoller, and Rachel Bittner.
★383stars
Jupyter Notebook
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Updated: 1w ago
📋 Project at a Glance
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What's this?Models project leveraging foundation-model and multimodal, built with Jupyter Notebook, open-source
Who made it?Maintained by spotify-research team, 383⭐ on GitHub, #1979 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the spotify-research team identified the need for better foundation-model solutions. llark was created to simplify multimodal workflows.
What can it do?Key use cases: music-information-retrieval
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/spotify-research/llark | 官网 https://storage.googleapis.com/music2text-public/index.html
🔗 github.com/spotify-research/llark | 官网 https://storage.googleapis.com/music2text-public/index.html
Topics
foundation-modelmultimodalmusic-information-retrieval