Instructions to use Safakhaled/Safa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Safakhaled/Safa with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Safakhaled/Safa", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Safakhaled/Safa: direct link, hf CLI and curl.
- Browser
- Download file 83 Bytes
-
https://huggingface.co/Safakhaled/Safa/resolve/main/README.md
- Command line
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hf download hf://Safakhaled/Safa/README.md
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curl -L -o README.md https://huggingface.co/Safakhaled/Safa/resolve/main/README.md
83 Bytes
metadata
license: apache-2.0
library_name: adapter-transformers
print('hello world')