metadata
tags:
- adapter-transformers
- adapterhub:umls
- bert
datasets:
- umls
Adapter reginaboateng/pfeiffer_umls_relational_extraction_adapter_clinicalBERT for emilyalsentzer/Bio_ClinicalBERT
An adapter for the emilyalsentzer/Bio_ClinicalBERT model that was trained on the umls dataset and includes a prediction head for classification.
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("emilyalsentzer/Bio_ClinicalBERT")
adapter_name = model.load_adapter("reginaboateng/pfeiffer_umls_relational_extraction_adapter_clinicalBERT", source="hf", set_active=True)