SALT-NLP/pfadapter-bert-base-uncased-rte-combined-value for bert-base-uncased
An adapter for the
bert-base-uncased model that was trained on the glue dataset and includes a prediction head for classification.
This adapter was created for usage with the adapter-transformers library.
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("bert-base-uncased") adapter_name = model.load_adapter("SALT-NLP/pfadapter-bert-base-uncased-rte-combined-value", source="hf", set_active=True)
Architecture & Training
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