Instructions to use abhishekkuber/binary_cog_dist_xlmr_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use abhishekkuber/binary_cog_dist_xlmr_base with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("xlm-roberta-base") model.load_adapter("abhishekkuber/binary_cog_dist_xlmr_base", set_active=True) - Notebooks
- Google Colab
- Kaggle
Adapter abhishekkuber/binary_cog_dist_xlmr_base for xlm-roberta-base
An adapter for the xlm-roberta-base model that was trained on the cognitive_distortions dataset and includes a prediction head for classification.
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("xlm-roberta-base")
adapter_name = model.load_adapter("abhishekkuber/binary_cog_dist_xlmr_base", set_active=True)
Architecture & Training
Evaluation results
Citation
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