Adapter jslai/MBERT_uncased_double_seq_bn_inv_HuberLoss_genetic_head_to_tail_20241129-073400 for google-bert/bert-base-multilingual-uncased

An adapter for the google-bert/bert-base-multilingual-uncased model that was trained on the None dataset and includes a prediction head for classification.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google-bert/bert-base-multilingual-uncased")
adapter_name = model.load_adapter("jslai/MBERT_uncased_double_seq_bn_inv_HuberLoss_genetic_head_to_tail_20241129-073400", set_active=True)

Architecture & Training

Evaluation results

Citation