---
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
- rq-vae
- recommender_systems
- generative_retrieval
- tiger
- retrieval
- variational_autoencoder
---
Trained RQ-VAE checkpoint from [Recommender Systems with Generative Retrieval](https://arxiv.org/pdf/2305.05065) by Google DeepMind.

Given item textual embeddings, this model generates a semantic id for the item that can be used for further downstream recommendation, ranking and retrieval tasks.

The model is trained on Amazon Beauty using the open-source [paper implementation](https://github.com/EdoardoBotta/RQ-VAE-Recommender?tab=readme-ov-file) by Edoardo Botta, where more details on pre-training are found.