Instructions to use ToniZXC/Ira with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ToniZXC/Ira with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("ToniZXC/Ira", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from ToniZXC/Ira: direct link, hf CLI and curl.
- Browser
- Download file 174 Bytes
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https://huggingface.co/ToniZXC/Ira/resolve/main/README.md
- Command line
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hf download hf://ToniZXC/Ira/README.md
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curl -L -o README.md https://huggingface.co/ToniZXC/Ira/resolve/main/README.md
174 Bytes
| license: bigcode-openrail-m | |
| datasets: | |
| - fka/awesome-chatgpt-prompts | |
| - AI-MO/NuminaMath-CoT | |
| language: | |
| - id | |
| - en | |
| metrics: | |
| - code_eval | |
| library_name: adapter-transformers | |