Instructions to use Machlovi/SafePhi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Machlovi/SafePhi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Machlovi/SafePhi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Machlovi/SafePhi with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Machlovi/SafePhi to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Machlovi/SafePhi to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Machlovi/SafePhi to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Machlovi/SafePhi", max_seq_length=2048, )
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@@ -122,6 +122,7 @@ This resource accompanies our paper accepted in the **Late Breaking Work** track
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π **Conference:** HCI International 2025 β Late Breaking Work
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π [Link to Proceedings](https://2025.hci.international/proceedings.html)
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π [Link to Paper](https://doi.org/10.48550/arXiv.2508.07063)
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π **Conference:** HCI International 2025 β Late Breaking Work
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π [Link to Proceedings](https://2025.hci.international/proceedings.html)
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π [Link to Paper](https://doi.org/10.48550/arXiv.2508.07063)
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π [Link to Conference Publication ](https://link.springer.com/chapter/10.1007/978-3-032-13184-3_24)
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