Instructions to use AdapterHub/gpt2_lm_poem_pfeiffer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/gpt2_lm_poem_pfeiffer with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("gpt2") model.load_adapter("AdapterHub/gpt2_lm_poem_pfeiffer", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efbce773fa384a697169e787298b000b88869a00a6a06f44c73f86008d178e21
- Size of remote file:
- 3.59 MB
- SHA256:
- f8dc85f92b287582245165b4a869387849ff11b5d6ca614b0d360395b2e2c645
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