Based on our paper we release a new model trained on the LFT dataset.

Note: We use BPEmbeddings instead of the combination of Wikipedia, Common Crawl and character embeddings (as used in the paper), so save space and training/inferencing time.

Paper reported an averaged F1-score of 77.51.

† denotes that this model is selected for upload.