metadata
tags:
- adapter-transformers
- adapterhub:sentiment/amazon
- xlm-roberta
datasets:
- amazon
Adapter NightMachinery/task_adapter_amazon_xlm_roberta_base_en_wiki_250 for xlm-roberta-base
An adapter for the xlm-roberta-base model that was trained on the sentiment/amazon 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("xlm-roberta-base")
adapter_name = model.load_adapter("NightMachinery/task_adapter_amazon_xlm_roberta_base_en_wiki_250", source="hf", set_active=True)