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---
tags:
- adapter-transformers
- bert
datasets:
- wnli
---
# Adapter `jdorairaj/Bert-uncased-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-uncased-adapter-wnli", source="hf", set_active=True)
```
## Architecture & Training
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## Evaluation results
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## Citation
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