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adapter_test
yongsun-shim/adapter_test
adapter_test is a machine learning model from yongsun-shim. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers.
An adapter for the t5-small model that was trained on the pubmed dataset.
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At a glance
- Library
- adapter-transformers
- Model type
- t5
- Access
- Public
- Created
- Jul 16, 2023
- Updated
- Jul 21, 2023
- SHA
- eb3c8309
Datasets
Model card
From the Hugging Face model README
Adapter yongsun-shim/adapter_test for t5-small
An adapter for the t5-small model that was trained on the pubmed dataset.
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("t5-small")
adapter_name = model.load_adapter("yongsun-shim/adapter_test", source="hf", set_active=True)
Architecture & Training
<!-- Add some description here -->Evaluation results
<!-- Add some description here -->Citation
<!-- Add some description here -->- Library
- adapter-transformers
- Type
- t5
- Created
- Jul 16, 2023
- Updated
- Jul 21, 2023