Instructions to use NYTK/electra-small-generator-hungarian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NYTK/electra-small-generator-hungarian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NYTK/electra-small-generator-hungarian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NYTK/electra-small-generator-hungarian") model = AutoModelForMaskedLM.from_pretrained("NYTK/electra-small-generator-hungarian") - Notebooks
- Google Colab
- Kaggle
Citation
If you use this model, please cite the following paper:
@inproceedings {yang-language-models,
title = {Training language models with low resources: RoBERTa, BART and ELECTRA experimental models for Hungarian},
booktitle = {Proceedings of 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2021)},
year = {2021},
publisher = {IEEE},
address = {Online},
author = {Yang, Zijian Győző and Váradi, Tamás},
pages = {279--285}
}
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