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
)
@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",
}
Runs of l3cube-pune hing-bert on huggingface.co
834
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225
3-day runs
344
7-day runs
659
30-day runs
More Information About hing-bert huggingface.co Model
hing-bert huggingface.co is an AI model on huggingface.co that provides hing-bert's model effect (), which can be used instantly with this l3cube-pune hing-bert model. huggingface.co supports a free trial of the hing-bert model, and also provides paid use of the hing-bert. Support call hing-bert model through api, including Node.js, Python, http.
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