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emvecchi/
socc_constructiveness

adapter-transformers

argument/quality

roberta

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Adapter `emvecchi/socc_constructiveness` for roberta-base

An adapter for the roberta-base model that was trained on the SOCC 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:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("roberta-base")
adapter_name = model.load_adapter("emvecchi/socc_constructiveness", source="hf", set_active=True)

emvecchi/
socc_constructiveness

Adapter `emvecchi/socc_constructiveness` for roberta-base

Usage

Architecture & Training

Evaluation results

Citation

emvecchi/socc_constructiveness

Adapter emvecchi/socc_constructiveness for roberta-base

Usage

Architecture & Training

Evaluation results

Citation

emvecchi/
socc_constructiveness

Adapter `emvecchi/socc_constructiveness` for roberta-base