Instructions to use Sameh515/Shalabi-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Sameh515/Shalabi-1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Sameh515/Shalabi-1 --local-dir Shalabi-1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
7 days ago
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Publish Shalabi-1 educational MLX adapter
Verified signaturePublish the trained final-block LoRA adapter, exact experiment configuration, original synthetic dataset, code, results, and beginner learning guide. Held-out accuracy is 59/60 for both the original checkpoint and adapter; report lower decision loss, one corrected mistake, and one regression. Author credit and LinkedIn link are included in the model card.ff5dda2