Show HN: RETVec: Resilient and Efficient Text Vectorizer

Happy Friday,

Really happy to share that the code and model for RETVec our new SOTA robust text tokenizer for classification is available on Github: https://github.com/google-research/retvec/ and the NeurIPS paper on Arxiv: https://arxiv.org/abs/2302.09207

Beside its compactness and robustness one of the RETVec strong point is that it greatly simplify the creation of on-device models: RETVec work natively on TFlite and can be use in web deployement via a TFJS.

We hope you will find it useful for your research and if you would like to give it a try we have a get started notebook here: https://github.com/google-research/retvec/blob/main/notebooks/train_retvec_model_tf.ipynb

Let us know if you have any questions.