tags: | |
- adapter-transformers | |
- t5 | |
- adapterhub:self-explanations | |
datasets: | |
- self-explanations | |
# Adapter `nbogdan/bdn-se-flan_adapters` for google/flan-t5-small | |
An [adapter](https://adapterhub.ml) for the `google/flan-t5-small` model that was trained on the [self-explanations](https://adapterhub.ml/explore/self-explanations/) dataset. | |
This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library. | |
## Usage | |
First, install `adapter-transformers`: | |
``` | |
pip install -U adapter-transformers | |
``` | |
_Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_ | |
Now, the adapter can be loaded and activated like this: | |
```python | |
from transformers import AutoAdapterModel | |
model = AutoAdapterModel.from_pretrained("google/flan-t5-small") | |
adapter_name = model.load_adapter("nbogdan/bdn-se-flan_adapters", source="hf", set_active=True) | |
``` | |
## Architecture & Training | |
<!-- Add some description here --> | |
## Evaluation results | |
<!-- Add some description here --> | |
## Citation | |
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