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reginaboateng/
BERT_pubmedqa_adapter_with_maybes_to_nos_updated

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Adapter `reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated` for bert-base-uncased

An adapter for the bert-base-uncased model that was trained on the pubmedqa dataset.

This adapter was created for usage with the adapter-transformers library.

Usage

First, install adapter-transformers:

pip install -U adapter-transformers

Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More

Now, the adapter can be loaded and activated like this:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated", source="hf", set_active=True)

reginaboateng/
BERT_pubmedqa_adapter_with_maybes_to_nos_updated

Adapter `reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated` for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated

Adapter reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

reginaboateng/
BERT_pubmedqa_adapter_with_maybes_to_nos_updated

Adapter `reginaboateng/BERT_pubmedqa_adapter_with_maybes_to_nos_updated` for bert-base-uncased