Instructions to use BACCHUS45/Potex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use BACCHUS45/Potex with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("BACCHUS45/Potex", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download load_adapter() from BACCHUS45/Potex: direct link, hf CLI and curl.
- Browser
- Download file 266 Bytes
-
https://huggingface.co/BACCHUS45/Potex/resolve/main/load_adapter()
- Command line
-
hf download 'hf://BACCHUS45/Potex/load_adapter()'
-
curl -L -o 'load_adapter()' 'https://huggingface.co/BACCHUS45/Potex/resolve/main/load_adapter()'
266 Bytes
| from adapters import AutoAdapterModel | |
| # 1. | |
| model = AutoAdapterModel.from_pretrained("FacebookAI/roberta-base") | |
| # 2. | |
| adapter_name = model.load_adapter("AdapterHub/roberta-base-pf-imdb") | |
| # 3. | |
| model.active_adapters = adapter_name | |
| # or model.train_adapter(adapter_name) |