Instructions to use mmmaurer/roberta-base-hateeval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use mmmaurer/roberta-base-hateeval with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("mmmaurer/roberta-base-hateeval", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ac96ee88062961e10220d3fa0f265ca662a9c095efda6423482c674fed7308c
- Size of remote file:
- 3.6 MB
- SHA256:
- 7020d0aa74ce3990566e5a87b13a7fb866ae7531c18d65308747df8923d8a749
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