Instructions to use Jevalent/daisybeta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Jevalent/daisybeta with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Jevalent/daisybeta", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Jevalent/daisybeta: direct link, hf CLI and curl.
- Browser
- Download file 136 Bytes
-
https://huggingface.co/Jevalent/daisybeta/resolve/main/README.md
- Command line
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hf download hf://Jevalent/daisybeta/README.md
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curl -L -o README.md https://huggingface.co/Jevalent/daisybeta/resolve/main/README.md
136 Bytes
| datasets: | |
| - tatsu-lab/alpaca | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| pipeline_tag: text-generation | |
| library_name: adapter-transformers | |