Update README.md

README.md

@@ -2,8 +2,15 @@
 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.
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: [More Information Needed]
-- Docs: [More Information Needed]
+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.