Back to all models

Unable to determine this model’s pipeline type. Check the docs .

Monthly model downloads

lanwuwei/GigaBERT-v3-Arabic-and-English lanwuwei/GigaBERT-v3-Arabic-and-English
336 downloads
last 30 days

pytorch

tf

Contributed by

lanwuwei Wuwei Lan
3 models

How to use this model directly from the πŸ€—/transformers library:

			
Copy to clipboard
from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lanwuwei/GigaBERT-v3-Arabic-and-English") model = AutoModel.from_pretrained("lanwuwei/GigaBERT-v3-Arabic-and-English")

GigaBERT-v3

GigaBERT-v3 is a customized bilingual BERT for English and Arabic. It was pre-trained in a large-scale corpus (Gigaword+Oscar+Wikipedia) with ~10B tokens, showing state-of-the-art 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-v3-Arabic-and-English", do_lower_case=True)
model = BertForTokenClassification.from_pretrained("lanwuwei/GigaBERT-v3-Arabic-and-English")

More code examples can be found here.