
# ONNX export of Adapter `AdapterHub/bert-base-uncased-pf-hotpotqa` for bert-base-uncased
## Conversion of [AdapterHub/bert-base-uncased-pf-hotpotqa](https://huggingface.co/AdapterHub/bert-base-uncased-pf-hotpotqa) for UKP SQuARE


## Usage
```python
onnx_path = hf_hub_download(repo_id='UKP-SQuARE/bert-base-uncased-pf-hotpotqa-onnx', filename='model.onnx') # or model_quant.onnx for quantization
onnx_model = InferenceSession(onnx_path, providers=['CPUExecutionProvider'])

## Architecture & Training

The training code for this adapter is available at https://github.com/adapter-hub/efficient-task-transfer.
In particular, training configurations for all tasks can be found [here](https://github.com/adapter-hub/efficient-task-transfer/tree/master/run_configs).


## Evaluation results

Refer to [the paper](https://arxiv.org/pdf/2104.08247) for more information on results.

## Citation

If you use this adapter, please cite our paper ["What to Pre-Train on? Efficient Intermediate Task Selection"](https://arxiv.org/pdf/2104.08247):

```bibtex
@inproceedings{poth-etal-2021-pre,
    title = "{W}hat to Pre-Train on? {E}fficient Intermediate Task Selection",
    author = {Poth, Clifton  and
      Pfeiffer, Jonas  and
      R{"u}ckl{'e}, Andreas  and
      Gurevych, Iryna},
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.827",
    pages = "10585--10605",
}
```
{"language": ["en"], "tags": ["onnx", "question-answering", "bert", "adapter-transformers"], "datasets": ["hotpot_qa"], "inference": false}
adapter-transformers onnx bert question-answering en dataset:hotpot_qa arxiv:2104.08247 region:us
TAGS
#adapter-transformers #onnx #bert #question-answering #en #dataset-hotpot_qa #arxiv-2104.08247 #region-us 


# ONNX export of Adapter 'AdapterHub/bert-base-uncased-pf-hotpotqa' for bert-base-uncased
## Conversion of AdapterHub/bert-base-uncased-pf-hotpotqa for UKP SQuARE


## Usage
bibtex
@inproceedings{poth-etal-2021-pre,
    title = "{W}hat to Pre-Train on? {E}fficient Intermediate Task Selection",
    author = {Poth, Clifton  and
      Pfeiffer, Jonas  and
      R{"u}ckl{'e}, Andreas  and
      Gurevych, Iryna},
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "10585--10605",
}
'''
# ONNX export of Adapter 'AdapterHub/bert-base-uncased-pf-hotpotqa' for bert-base-uncased ## Conversion of AdapterHub/bert-base-uncased-pf-hotpotqa for UKP SQuARE ## Usage
bibtex
@inproceedings{poth-etal-2021-pre,
    title = "{W}hat to Pre-Train on? {E}fficient Intermediate Task Selection",
    author = {Poth, Clifton  and
      Pfeiffer, Jonas  and
      R{"u}ckl{'e}, Andreas  and
      Gurevych, Iryna},
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "10585--10605",
}
'''
TAGS
#adapter-transformers #onnx #bert #question-answering #en #dataset-hotpot_qa #arxiv-2104.08247 #region-us 
 # ONNX export of Adapter 'AdapterHub/bert-base-uncased-pf-hotpotqa' for bert-base-uncased ## Conversion of AdapterHub/bert-base-uncased-pf-hotpotqa for UKP SQuARE ## Usage
bibtex
@inproceedings{poth-etal-2021-pre,
    title = "{W}hat to Pre-Train on? {E}fficient Intermediate Task Selection",
    author = {Poth, Clifton  and
      Pfeiffer, Jonas  and
      R{"u}ckl{'e}, Andreas  and
      Gurevych, Iryna},
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "10585--10605",
}
'''
TAGS
#adapter-transformers #onnx #bert #question-answering #en #dataset-hotpot_qa #arxiv-2104.08247 #region-us 
# ONNX export of Adapter 'AdapterHub/bert-base-uncased-pf-hotpotqa' for bert-base-uncased## Conversion of AdapterHub/bert-base-uncased-pf-hotpotqa for UKP SQuARE## Usage
bibtex
@inproceedings{poth-etal-2021-pre,
    title = "{W}hat to Pre-Train on? {E}fficient Intermediate Task Selection",
    author = {Poth, Clifton  and
      Pfeiffer, Jonas  and
      R{"u}ckl{'e}, Andreas  and
      Gurevych, Iryna},
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "10585--10605",
}
'''