emvecchi/umod_constructiveness

Adapter emvecchi/umod_constructiveness for roberta-base

An adapter for the roberta-base model that was trained on the UMOD dataset and includes a prediction head for classification.

This adapter was created for usage with the [adapter-transformers](https://github.com/Adapter-Hub/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](https://docs.adapterhub.ml/installation.html)

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/umod_constructiveness", source="hf", set_active=True)

Architecture & Training

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Evaluation results

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Citation

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