Instructions to use samkk/peakpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use samkk/peakpt with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("samkk/peakpt", set_active=True) - Notebooks
- Google Colab
- Kaggle
|
Download README.md from samkk/peakpt: direct link, hf CLI and curl.
- Browser
- Download file 144 Bytes
-
https://huggingface.co/samkk/peakpt/resolve/main/README.md
- Command line
-
hf download hf://samkk/peakpt/README.md
-
curl -L -o README.md https://huggingface.co/samkk/peakpt/resolve/main/README.md
144 Bytes
| license: other | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| library_name: adapter-transformers | |
| tags: | |
| - art | |