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.gitattributes

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README.md

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 # Model
 
-<!-- TODO: Add plan and video of the demo -->
-<!-- TODO: Add links to the embedding hf page. Put the annealed model in this page-->
+`Aria` is a pretrained autoregressive generative model for symbolic music based on the LLaMA 3.2 (1B) architecture. It was trained on ~60k hours of MIDI transcriptions of expressive solo-piano recordings. It has been finetuned to produce realistic continuations of solo-piano compositions as well as to produce general-purpose contrastive MIDI embeddings. 
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+This HuggingFace page contains weights and usage instructions for the pretrained base model. For the generative model, see [aria-medium-gen](https://huggingface.co/loubb/aria-medium-gen), and for the embedding model, see [aria-medium-embedding](https://huggingface.co/loubb/aria-medium-embedding).
 
-`Aria-medium-base` is a pretrained autoregressive generative model for symbolic music based loosely on the LLaMA 3.2 (1B) architecture. It was trained on ~60k hours of MIDI transcriptions of expressive solo-piano recordings. It has been finetuned to produce realistic continuations of solo-piano compositions ([huggingface](https://example.com/)) as well as to produce general-purpose contrastive MIDI embeddings ([huggingface](https://example.com/)).  
 
 📖 Read our [release blog post](https://example.com/) and [paper](https://example.com/)  
 🚀 Check out the real-time demo in the official [GitHub repository](https://github.com/EleutherAI/aria)  
-📊 Get access to our training dataset [Aria-MIDI](https://huggingface.co/datasets/loubb/aria-midi) and train your own models
+📊 Get access to our training dataset [Aria-MIDI](https://huggingface.co/datasets/loubb/aria-midi) to train your own models
 
 ## Usage Guidelines