metadata
tags:
- adapterhub:argument/quality
- roberta
- adapter-transformers
Adapter emvecchi/appropriateness for roberta-base
An adapter for the roberta-base model that was trained on the argument/appropriateness 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("roberta-base")
adapter_name = model.load_adapter("emvecchi/appropriateness", source="hf", set_active=True)