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.
- Downloads last month
- 30
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.