---
tags:
- adapter-transformers
- adapterhub:Arabic ABSA/SemEvalHotelReview
- bert
datasets:
- Hotel
---

# Adapter `salohnana2018/ABSA-SentencePair-corrected-domainAdapt-Stack-Semeval-Adapter-pfeiffer-run2` for CAMeL-Lab/bert-base-arabic-camelbert-msa

An [adapter](https://adapterhub.ml) for the `CAMeL-Lab/bert-base-arabic-camelbert-msa` model that was trained on the [Arabic ABSA/SemEvalHotelReview](https://adapterhub.ml/explore/Arabic ABSA/SemEvalHotelReview/) dataset and includes a prediction head for classification.

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("CAMeL-Lab/bert-base-arabic-camelbert-msa")
adapter_name = model.load_adapter("salohnana2018/ABSA-SentencePair-corrected-domainAdapt-Stack-Semeval-Adapter-pfeiffer-run2", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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