---
tags:
- bert
- adapter-transformers
datasets:
- wnli
---

# Adapter `jdorairaj/Bert-adapter-wnli` for bert-base-uncased

An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the [wnli](https://huggingface.co/datasets/wnli/) 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("bert-base-uncased")
adapter_name = model.load_adapter("jdorairaj/Bert-adapter-wnli", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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