
# Adapter `calpt/my-awesome-adapter` for roberta-base

An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [sentiment/rotten_tomatoes](https://adapterhub.ml/explore/sentiment/rotten_tomatoes/) dataset and includes a prediction head for classification.

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("calpt/my-awesome-adapter", source="hf", set_active=True)
```

## Architecture & Training

<!-- Add some description here -->

## Evaluation results

<!-- Add some description here -->

## Citation

<!-- Add some description here -->
{"tags": ["roberta", "adapterhub:sentiment/rotten_tomatoes", "adapter-transformers"], "datasets": ["rotten_tomatoes"]}
adapter-transformers roberta adapterhub:sentiment/rotten_tomatoes dataset:rotten_tomatoes region:us