| ## GigaBERT-v4 | |
| GigaBERT-v4 is a continued pre-training of [GigaBERT-v3](https://huggingface.co/lanwuwei/GigaBERT-v3-Arabic-and-English) on code-switched data, showing improved zero-shot transfer performance from English to Arabic on information extraction (IE) tasks. More details can be found in the following paper: | |
| @inproceedings{lan2020gigabert, | |
| author = {Lan, Wuwei and Chen, Yang and Xu, Wei and Ritter, Alan}, | |
| title = {GigaBERT: Zero-shot Transfer Learning from English to Arabic}, | |
| booktitle = {Proceedings of The 2020 Conference on Empirical Methods on Natural Language Processing (EMNLP)}, | |
| year = {2020} | |
| } | |
| ## Usage | |
| ``` | |
| from transformers import * | |
| tokenizer = BertTokenizer.from_pretrained("lanwuwei/GigaBERT-v4-Arabic-and-English", do_lower_case=True) | |
| model = BertForTokenClassification.from_pretrained("lanwuwei/GigaBERT-v4-Arabic-and-English") | |
| ``` | |
| More coda examples can be found [here](https://github.com/lanwuwei/GigaBERT). | |