Instructions to use Reda2566/Reda_68 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use Reda2566/Reda_68 with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Reda2566/Reda_68", "model.bin")) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Reda2566/Reda_68: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
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https://huggingface.co/Reda2566/Reda_68/resolve/main/README.md
- Command line
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hf download hf://Reda2566/Reda_68/README.md
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curl -L -o README.md https://huggingface.co/Reda2566/Reda_68/resolve/main/README.md
172 Bytes
| license: openrail | |
| language: | |
| - ar | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - deepseek-ai/DeepSeek-R1 | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: fasttext | |
| tags: | |
| - legal | |