--- tags: - t5 - adapter-transformers datasets: - liuyanchen1015/VALUE_mnli_uninflect --- # Adapter `liuyanchen1015/pfadapter-FLAN-T5-base-uninflect_lr0.0005` for liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4 An [adapter](https://adapterhub.ml) for the `liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4` model that was trained on the [liuyanchen1015/VALUE_mnli_uninflect](https://huggingface.co/datasets/liuyanchen1015/VALUE_mnli_uninflect/) 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("liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4") adapter_name = model.load_adapter("liuyanchen1015/pfadapter-FLAN-T5-base-uninflect_lr0.0005", source="hf", set_active=True) ``` ## Architecture & Training ## Evaluation results ## Citation