Adapter reginaboateng/Compacter_PubmedBert_adapter_ner_pico_for_classification_task
for microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
An adapter for the microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
model that was trained on the pico_ner 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:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext")
adapter_name = model.load_adapter("reginaboateng/Compacter_PubmedBert_adapter_ner_pico_for_classification_task", source="hf", set_active=True)
Architecture & Training
Evaluation results
Citation
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