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rasta3050/aiguru
aiguru is a machine learning model from rasta3050. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the retrained model based on the original code and architecture provided by AI-Guru/MMM-JSB. The model has been trained from scratch on the Lakh MIDI Dataset.
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.safetensors80.3 MB · 100%
From the Hugging Face model README
This repository contains the retrained model based on the original code and architecture provided by AI-Guru/MMM-JSB. The model has been trained from scratch on the Lakh MIDI Dataset.
The model is suitable for generating MIDI sequences and serves as a baseline implementation without additional optimizations to the training process or code. The files included in this repository are essential for loading and utilizing the model efficiently.
The repository includes the following files:
config.json:
generation_config.json:
model.safetensors:
safetensors format for efficient and secure loading. This format ensures safe deserialization of model weights.training_args.bin:
The model was trained on the Lakh MIDI Dataset, which has undergone cleaning to ensure high-quality training data. The cleaning process involved removing duplicates, ensuring proper formatting, and filtering out noisy or incomplete data.
The original model and architecture are based on the repository AI-Guru/MMM-JSB. This implementation has been retrained from scratch to work with the Lakh MIDI Dataset for MIDI generation tasks.
Additionally, you can find an improved version of this model, trained on the same dataset but with modifications to the code for better training performance. You can access it here: aiguru_lakh.
This model follows the licensing terms of the original repository. Please review the license for more details.