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domadapter/
joint_dt_camera_photo_books

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Adapter `domadapter/joint_dt_camera_photo_books` for bert-base-uncased

An adapter for the bert-base-uncased 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-uncased")
adapter_name = model.load_adapter("domadapter/joint_dt_camera_photo_books", source="hf", set_active=True)

domadapter/
joint_dt_camera_photo_books

Adapter `domadapter/joint_dt_camera_photo_books` for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

domadapter/joint_dt_camera_photo_books

Adapter domadapter/joint_dt_camera_photo_books for bert-base-uncased

Usage

Architecture & Training

Evaluation results

Citation

domadapter/
joint_dt_camera_photo_books

Adapter `domadapter/joint_dt_camera_photo_books` for bert-base-uncased