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BigTMiami/adapter_classifier_from_prtrained_test
adapter_classifier_from_prtrained_test is a machine learning model from BigTMiami. 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 roberta-base model that was trained on the BigTMiami/amazonhelpfulness dataset and includes a prediction head for classification.
Downloads · 30 days
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From the Hugging Face model README
BigTMiami/adapter_classifier_from_prtrained_test for roberta-baseAn adapter for the roberta-base model that was trained on the BigTMiami/amazon_helpfulness 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("roberta-base")
adapter_name = model.load_adapter("BigTMiami/adapter_classifier_from_prtrained_test", source="hf", set_active=True)