stanfordnlp/sst2
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How to use jdorairaj/Bert-adapter-sst2 with Adapters:
from adapters import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("bert-base-uncased")
model.load_adapter("jdorairaj/Bert-adapter-sst2", set_active=True)jdorairaj/Bert-adapter-sst2 for bert-base-uncased
An adapter for the bert-base-uncased model that was trained on the sst2 dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
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-sst2", source="hf", set_active=True)