---
tags:
- adapter-transformers
- roberta
datasets:
- BigTMiami/amazon_split_25M_reviews_20_percent_condensed
---

# Adapter `BigTMiami/G_adapter_compactor_pretraining_P_20` for roberta-base

An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_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/G_adapter_compactor_pretraining_P_20", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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