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Bert-adapter-wnli
jdorairaj/Bert-adapter-wnli
Bert-adapter-wnli is a machine learning model from jdorairaj. 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 bert-base-uncased model that was trained on the wnli dataset and includes a prediction head for classification.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Mar 17, 2024
- Updated
- Mar 17, 2024
- SHA
- dd3926d3
Datasets
Model card
From the Hugging Face model README
Adapter jdorairaj/Bert-adapter-wnli for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the wnli 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("bert-base-uncased")
adapter_name = model.load_adapter("jdorairaj/Bert-adapter-wnli", 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
- Created
- Mar 17, 2024
- Updated
- Mar 17, 2024