metadata
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 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 by Edoardo Botta, where more details on pre-training are found.