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Adapter solwol/my-awesome-adapter for roberta-base

An adapter for the roberta-base model that was trained on the sentiment/rotten_tomatoes dataset and includes a prediction head for classification.

This adapter was created for usage with the Adapters library.


First, install transformers and adapters:

pip install -U transformers 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("solwol/my-awesome-adapter", source="hf", set_active=True)

Next, to perform sentiment classification:

from transformers import AutoTokenizer, TextClassificationPipeline

tokenizer = AutoTokenizer.from_pretrained("roberta-base")
classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer)
classfifier("Adapters are awesome!")
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Dataset used to train solwol/my-awesome-adapter