Downloads · 30 days
7
44% of all-time downloads
reginaboateng/Compacter_BioBERT_adapter_ner_pico_for_classification_task
Compacter_BioBERT_adapter_ner_pico_for_classification_task is a machine learning model from reginaboateng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers.
An adapter for the dmis-lab/biobert-v1.1 model that was trained on the piconer dataset.
Downloads · 30 days
7
44% of all-time downloads
All-time downloads
16
Public
Repo size
292 KB
Likes
0
Public
Click a slice to open those files.
.bin292 KB · 99%
From the Hugging Face model README
reginaboateng/Compacter_BioBERT_adapter_ner_pico_for_classification_task for dmis-lab/biobert-v1.1An adapter for the dmis-lab/biobert-v1.1 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("dmis-lab/biobert-v1.1")
adapter_name = model.load_adapter("reginaboateng/Compacter_BioBERT_adapter_ner_pico_for_classification_task", source="hf", set_active=True)