Adapter BigTMiami/first_test_adapter
for roberta-base
An adapter for the roberta-base
model that was trained on the BigTMiami/small_amazon_2_500_condensed dataset and includes a prediction head for masked lm.
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("roberta-base")
adapter_name = model.load_adapter("BigTMiami/first_test_adapter", source="hf", set_active=True)
Architecture & Training
Evaluation results
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