Push model using huggingface_hub.

README.md

@@ -2,15 +2,8 @@
 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.
+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]

model.safetensors

@@ -1,3 +1,3 @@
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