
# Adapter `varun-v-rao/bert-base-cased-bn-adapter-895K-snli` for bert-base-cased

An [adapter](https://adapterhub.ml) for the `bert-base-cased` model that was trained on the [snli](https://huggingface.co/datasets/snli/) dataset.

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-cased")
adapter_name = model.load_adapter("varun-v-rao/bert-base-cased-bn-adapter-895K-snli", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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{"tags": ["bert", "adapter-transformers"], "datasets": ["snli"]}
adapter-transformers bert dataset:snli region:us