Edit model card

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}
}
Downloads last month
40
Safetensors
Model size
279M params
Tensor type
I64
·
F32
·

Datasets used to train sileod/mdeberta-v3-base-tasksource-nli

Collection including sileod/mdeberta-v3-base-tasksource-nli