metadata
tags:
- bert
- adapter-transformers
datasets:
- redasers/difraud
Adapter dainis-boumber/df-adapters-fake-news for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the redasers/difraud 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("bert-base-uncased")
adapter_name = model.load_adapter("dainis-boumber/df-adapters-fake-news", source="hf", set_active=True)