---
title: scirepeval_adapters_rgn
canonical_url: "https://www.modelscope.cn/models/LLM-Research/scirepeval_adapters_rgn"
md_url: "https://www.modelscope.cn/models/LLM-Research/scirepeval_adapters_rgn.md"
repository: LLM-Research/scirepeval_adapters_rgn
last_updated: 2024-09-08
library_name:
  - transformer
  - pytorch
frameworks:
  - pytorch
downloads: 2179
stars: 0
tags:
  - "adapterhub:scirepeval/regression"
  - adapter-transformers
  - bert
---

# scirepeval_adapters_rgn

> scirepeval_adapters_rgn - LLM-Research 在 ModelScope 开源的模型。Adapter allenai/scirepevaladaptersrgn for malteos/scincl

- **Repository**: LLM-Research/scirepeval_adapters_rgn
- **Tags**: adapterhub:scirepeval/regression, adapter-transformers, bert
- **Downloads**: 2179
- **Stars**: 0
- **Last updated**: 2024-09-08

Source: https://www.modelscope.cn/models/LLM-Research/scirepeval_adapters_rgn

---

# Adapter `allenai/scirepeval_adapters_rgn` for malteos/scincl

An [adapter](https://adapterhub.ml) for the `malteos/scincl` model that was trained on the [scirepeval/regression](https://adapterhub.ml/explore/scirepeval/regression/) 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("malteos/scincl")
adapter_name = model.load_adapter("allenai/scirepeval_adapters_rgn", source="hf", set_active=True)
```

## Architecture & Training

<!-- Add some description here -->

## Evaluation results

<!-- Add some description here -->

## Citation

<!-- Add some description here -->