reginaboateng/cleaned_ebmnlp_pico
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How to use reginaboateng/Compacter_clinical_bert_adapter_ner_pico_for_classification_task with Adapters:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("emilyalsentzer/Bio_ClinicalBERT")
model.load_adapter("reginaboateng/Compacter_clinical_bert_adapter_ner_pico_for_classification_task", set_active=True)reginaboateng/Compacter_clinical_bert_adapter_ner_pico_for_classification_task for emilyalsentzer/Bio_ClinicalBERT
An adapter for the emilyalsentzer/Bio_ClinicalBERT model that was trained on the pico_ner dataset.
This adapter was created for usage with the adapter-transformers library.
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/Compacter_clinical_bert_adapter_ner_pico_for_classification_task", source="hf", set_active=True)
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("emilyalsentzer/Bio_ClinicalBERT") model.load_adapter("reginaboateng/Compacter_clinical_bert_adapter_ner_pico_for_classification_task", set_active=True)