[R] 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 [here](https://github.com/google-research/retvec/) and the NeurIPS paper [here](https://arxiv.org/abs/2302.09207). We also provide native support for TFLite and for the web via a TFJS. Hope you will find it useful for your research. If you would like to give it a try we have a get started [notebook](https://github.com/google-research/retvec/blob/main/notebooks/train_retvec_model_tf.ipynb).

Let us know if you have any questions.

​

machinelearning questions resilient text