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selimyagci/
pm_task_t5s_co2

Name: pm_task_t5s_co2
Availability: InStock

adapter-transformers

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Adapter `selimyagci/pm_task_t5s_co2` for google-t5/t5-small

An adapter for the google-t5/t5-small model that was trained on the None dataset and includes a prediction head for seq2seq lm.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

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

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google-t5/t5-small")
adapter_name = model.load_adapter("selimyagci/pm_task_t5s_co2", set_active=True)

selimyagci/
pm_task_t5s_co2

Adapter `selimyagci/pm_task_t5s_co2` for google-t5/t5-small

Usage

Architecture & Training

Evaluation results

Citation

selimyagci/pm_task_t5s_co2

Adapter selimyagci/pm_task_t5s_co2 for google-t5/t5-small

Usage

Architecture & Training

Evaluation results

Citation

selimyagci/
pm_task_t5s_co2

Adapter `selimyagci/pm_task_t5s_co2` for google-t5/t5-small