README.md

---
tags:
- roberta
- adapter-transformers
datasets:
- buelfhood/ConPlag_version_1
---

# Adapter `buelfhood/ConPlag_1_codeberta_ep50_bs16_lr0_0001_l512_s42_houlsby` for huggingface/CodeBERTa-small-v1

An [adapter](https://adapterhub.ml) for the `huggingface/CodeBERTa-small-v1` model that was trained on the [buelfhood/ConPlag_version_1](https://huggingface.co/datasets/buelfhood/ConPlag_version_1/) 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("huggingface/CodeBERTa-small-v1")
adapter_name = model.load_adapter("buelfhood/ConPlag_1_codeberta_ep50_bs16_lr0_0001_l512_s42_houlsby", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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