---
tags:
- adapter-transformers
- t5
license: apache-2.0
language:
- en
pipeline_tag: summarization
library_name: adapter-transformers
---

# Adapter `bilal521/t5-edu-summary-adapter` for t5-base

An [adapter](https://adapterhub.ml) for the `t5-base` model that was trained on the None dataset and includes a prediction head for seq2seq lm.

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-base")
adapter_name = model.load_adapter("bilal521/t5-edu-summary-adapter", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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