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 [email protected].

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
54
Safetensors
Model size
279M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for sileod/mdeberta-v3-base-tasksource-nli

Finetunes
1 model

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

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