Instructions to use bsautner/po with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use bsautner/po with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("bsautner/po", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from bsautner/po: direct link, hf CLI and curl.
- Browser
- Download file 155 Bytes
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https://huggingface.co/bsautner/po/resolve/main/README.md
- Command line
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hf download hf://bsautner/po/README.md
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curl -L -o README.md https://huggingface.co/bsautner/po/resolve/main/README.md
155 Bytes
metadata
license: mit
language:
- en
base_model:
- mistralai/Mistral-Nemo-Instruct-2407
datasets:
- Yelp/yelp_review_full
library_name: adapter-transformers