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
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Download README.md from samkk/peakpt: direct link, hf CLI and curl.
- Browser
- Download file 144 Bytes
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https://huggingface.co/samkk/peakpt/resolve/main/README.md
- Command line
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hf download hf://samkk/peakpt/README.md
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curl -L -o README.md https://huggingface.co/samkk/peakpt/resolve/main/README.md
144 Bytes
metadata
license: other
datasets:
- fka/awesome-chatgpt-prompts
language:
- en
metrics:
- accuracy
library_name: adapter-transformers
tags:
- art