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pm_task_t5s_co2
selimyagci/pm_task_t5s_co2
pm_task_t5s_co2 is a machine learning model from selimyagci. 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 google-t5/t5-small model that was trained on the None dataset and includes a prediction head for seq2seq lm.
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At a glance
- Library
- adapter-transformers
- Access
- Public
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024
- SHA
- a7b8b1e7
Model card
From the Hugging Face model README
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:
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)
Architecture & Training
<!-- Add some description here -->Evaluation results
<!-- Add some description here -->Citation
<!-- Add some description here -->- Library
- adapter-transformers
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024