|
|
--- |
|
|
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 |
|
|
|
|
|
<!-- Add some description here --> |
|
|
|
|
|
## Evaluation results |
|
|
|
|
|
<!-- Add some description here --> |
|
|
|
|
|
## Citation |
|
|
|
|
|
<!-- Add some description here --> |
