You can deploy this model and start earning money today!

reginaboateng/
umls_relational_extraction_adapter_BioBERT

Name: umls_relational_extraction_adapter_BioBERT
Availability: InStock

Views

No views yet

Adapter `reginaboateng/umls_relational_extraction_adapter_BioBERT` for dmis-lab/biobert-v1.1

An adapter for the dmis-lab/biobert-v1.1 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:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("dmis-lab/biobert-v1.1")
adapter_name = model.load_adapter("reginaboateng/umls_relational_extraction_adapter_BioBERT", source="hf", set_active=True)

reginaboateng/
umls_relational_extraction_adapter_BioBERT

Adapter `reginaboateng/umls_relational_extraction_adapter_BioBERT` for dmis-lab/biobert-v1.1

Usage

Architecture & Training

Evaluation results

Citation

reginaboateng/umls_relational_extraction_adapter_BioBERT

Adapter reginaboateng/umls_relational_extraction_adapter_BioBERT for dmis-lab/biobert-v1.1

Usage

Architecture & Training

Evaluation results

Citation

reginaboateng/
umls_relational_extraction_adapter_BioBERT

Adapter `reginaboateng/umls_relational_extraction_adapter_BioBERT` for dmis-lab/biobert-v1.1