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NightMachinery/
task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250

Name: task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250
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Adapter `NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250` for bert-base-multilingual-cased

An adapter for the bert-base-multilingual-cased 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:

python

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("bert-base-multilingual-cased")
adapter_name = model.load_adapter("NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250", source="hf", set_active=True)

NightMachinery/
task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250

Adapter `NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250` for bert-base-multilingual-cased

Usage

Architecture & Training

Evaluation results

Citation

NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250

Adapter NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250 for bert-base-multilingual-cased

Usage

Architecture & Training

Evaluation results

Citation

NightMachinery/
task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250

Adapter `NightMachinery/task_adapter_amazon_bert-base-multilingual-cased_en_wiki_250` for bert-base-multilingual-cased