--- tags: - t5 - adapter-transformers datasets: - minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent --- # Adapter `legacy107/adapter-flan-t5-large-bottleneck-16-ia3-cpgQA` for legacy107/flan-t5-large-ia3-cpgQA-merged An [adapter](https://adapterhub.ml) for the `legacy107/flan-t5-large-ia3-cpgQA-merged` model that was trained on the [minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent](https://huggingface.co./datasets/minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent/) dataset. This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library. ## Usage First, install `adapter-transformers`: ``` pip install -U adapter-transformers ``` _Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_ Now, the adapter can be loaded and activated like this: ```python from transformers import AutoAdapterModel model = AutoAdapterModel.from_pretrained("legacy107/flan-t5-large-ia3-cpgQA-merged") adapter_name = model.load_adapter("legacy107/adapter-flan-t5-large-bottleneck-16-ia3-cpgQA", source="hf", set_active=True) ``` ## Architecture & Training ## Evaluation results ## Citation