README.md

---
tags:
- roberta
- adapter-transformers
datasets:
- BigTMiami/citation_intent_dataset_condensed
---

# Adapter `BigTMiami/m_cite_par_bn_v_4_pretrain_adapter` for roberta-base

An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/citation_intent_dataset_condensed](https://huggingface.co/datasets/BigTMiami/citation_intent_dataset_condensed/) dataset and includes a prediction head for masked lm.

This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.

## Usage

First, install `adapters`:

```
pip install -U adapters
```

Now, the adapter can be loaded and activated like this:

```python
from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("roberta-base")
adapter_name = model.load_adapter("BigTMiami/m_cite_par_bn_v_4_pretrain_adapter", source="hf", set_active=True)
```

## Architecture & Training

<!-- Add some description here -->

## Evaluation results

<!-- Add some description here -->

## Citation

<!-- Add some description here -->