Instructions to use emvecchi/umod_constructiveness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use emvecchi/umod_constructiveness with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("emvecchi/umod_constructiveness", set_active=True) - Notebooks
- Google Colab
- Kaggle
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# Adapter `emvecchi/umod_constructiveness` for roberta-base
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An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [
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This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.
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# Adapter `emvecchi/umod_constructiveness` for roberta-base
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An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [UMOD](https://github.com/Blubberli/userMod.git) dataset and includes a prediction head for classification.
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This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.
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