README.md

---
tags:
- t5
- adapter-transformers
datasets:
- snli
---

# Adapter `varun-v-rao/t5-large-bn-adapter-6.34M-snli-model2` for t5-large

An [adapter](https://adapterhub.ml) for the `t5-large` 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("t5-large")
adapter_name = model.load_adapter("varun-v-rao/t5-large-bn-adapter-6.34M-snli-model2", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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