模型:
l3cube-pune/hing-bert
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a base BERT model fine-tuned on L3Cube-HingCorpus. [dataset link] ( https://github.com/l3cube-pune/code-mixed-nlp )
More details on the dataset, models, and baseline results can be found in our [paper] ( https://arxiv.org/abs/2204.08398 )
Other models from HingBERT family: HingBERT HingMBERT HingBERT-Mixed HingBERT-Mixed-v2 HingRoBERTa HingRoBERTa-Mixed HingGPT HingGPT-Devanagari HingBERT-LID
@inproceedings{nayak-joshi-2022-l3cube, title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models", author = "Nayak, Ravindra and Joshi, Raviraj", booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference", month = jun, year = "2022", address = "Marseille, France", publisher = "European Language Resources Association", url = "https://aclanthology.org/2022.wildre-1.2", pages = "7--12", }