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model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased")
config = AdapterConfig.load("pfeiffer", non_linearity="gelu", reduction_factor=2)
model.load_adapter("bn/wiki@ukp", config=config)

Description

Properties

Pre-trained model
bert-base-multilingual-cased
Adapter type
Language
Prediction Head
  Yes
Task
Bengali
Dataset
wiki

Architecture

Name
pfeiffer
Non-linearity
gelu
Reduction factor
2
{
  "ln_after": false,
  "ln_before": false,
  "mh_adapter": false,
  "output_adapter": true,
  "adapter_residual_before_ln": false,
  "non_linearity": "gelu",
  "original_ln_after": true,
  "original_ln_before": true,
  "reduction_factor": 2,
  "residual_before_ln": true
}

Author

  Name
Jonas Pfeiffer
  E-Mail
jonas@pfeiffer.ai
  Web
https://pfeiffer.ai
  GitHub
JoPfeiff
  Twitter
@PfeiffJo

Versions

Identifier Comment Score Download
1 DEFAULT

Citations

Architecture
@misc{pfeiffer2020adapterfusion,
  title={AdapterFusion: Non-Destructive Task Composition for Transfer Learning},
  author={Jonas Pfeiffer and Aishwarya Kamath and Andreas Rücklé and Kyunghyun Cho and Iryna Gurevych},
  year={2020},
  eprint={2005.00247},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}