metadata
tags:
- bert
- adapterhub:Arabic ABSA/SemEvalHotelReview
- adapter-transformers
datasets:
- Hotel
Adapter salohnana2018/ABSA-SentencePair-domainAdapt-SemEval-Adapter-pfeiffer_madx-run2
for CAMeL-Lab/bert-base-arabic-camelbert-msa
An adapter 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 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
Now, the adapter can be loaded and activated like this:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa")
adapter_name = model.load_adapter("salohnana2018/ABSA-SentencePair-domainAdapt-SemEval-Adapter-pfeiffer_madx-run2", source="hf", set_active=True)