Instructions to use microsoft/amos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/amos with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/amos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
This model card contains the AMOS model (base++ version) proposed in this paper. The official GitHub repository can be found here.
Citation
If you find this model card useful for your research, please cite the following paper:
@inproceedings{meng2022amos,
title={Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators},
author={Meng, Yu and Xiong, Chenyan and Bajaj, Payal and Tiwary, Saurabh and Bennett, Paul and Han, Jiawei and Song, Xia},
booktitle={ICLR},
year={2022}
}
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