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music-large-800k
stanford-crfm/music-large-800k
music-large-800k is a text generation model from stanford-crfm. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This is a Large (780M parameter) Transformer trained for 800k steps on arrival-time encoded music from the Lakh MIDI dataset, MetaMidi dataset, and transcripts of the FMA audio dataset and 450k commercial music record…
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780M
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024
- SHA
- e206a88d
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Model card
From the Hugging Face model README
This is a Large (780M parameter) Transformer trained for 800k steps on arrival-time encoded music from the Lakh MIDI dataset, MetaMidi dataset, and transcripts of the FMA audio dataset and 450k commercial music records (transcribed using Google Magenta's ISMIR 2022 music transcription model). This model was trained with anticipation.
References for the Anticipatory Music Transformer
The Anticipatory Music Transformer paper is available on ArXiv.
The full model card is available here.
Code for using this model is available on GitHub.
See the accompanying blog post for additional discussion of anticipatory models.
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Mar 13, 2024
- Updated
- Mar 13, 2024