Model Card for mDeBERTa-v3-base-tasksource-nli
Multilingual mdeberta-v3-base with 30k steps multi-task training on mtasksource This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline. In addition, you can use the provided adapters to directly load a model for hundreds of tasks.
!pip install tasknet, tasksource -q
import tasknet as tn
pipe=tn.load_pipeline(
'sileod/mdeberta-v3-base-tasksource-nli',
'miam/dihana')
pipe(['si','como esta?'])
For more details, see deberta-v3-base-tasksource-nli and replace tasksource by mtasksource.
Software
https://github.com/sileod/tasksource/ https://github.com/sileod/tasknet/
Contact and citation
For help integrating tasksource into your experiments, please contact damien.sileo@inria.fr.
For more details, refer to this article:
@article{sileo2023tasksource,
title={tasksource: Structured Dataset Preprocessing Annotations for Frictionless Extreme Multi-Task Learning and Evaluation},
author={Sileo, Damien},
url= {https://arxiv.org/abs/2301.05948},
journal={arXiv preprint arXiv:2301.05948},
year={2023}
}