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Upload T5ForConditionalGeneration
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metadata
tags:
  - adapter-transformers
  - t5
datasets:
  - minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent

Adapter legacy107/flan-t5-large-bottleneck-ia3-union-cpgQA for google/flan-t5-large

An adapter for the google/flan-t5-large model that was trained on the minh21/cpgQA-v1.0-unique-context-test-10-percent-validation-10-percent dataset.

This adapter was created for usage with the 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

Now, the adapter can be loaded and activated like this:

from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google/flan-t5-large")
adapter_name = model.load_adapter("legacy107/flan-t5-large-bottleneck-ia3-union-cpgQA", source="hf", set_active=True)

Architecture & Training

Evaluation results

Citation