Instructions to use patruff/lexiJudgeSFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patruff/lexiJudgeSFT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("patruff/lexiJudgeSFT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use patruff/lexiJudgeSFT 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 patruff/lexiJudgeSFT 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 patruff/lexiJudgeSFT to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for patruff/lexiJudgeSFT to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="patruff/lexiJudgeSFT", max_seq_length=2048, )
- Xet hash:
- 9f9745f36c872eb2e4faaf0b67976f30f38fe168237d090c5c6dc0feb500e15e
- Size of remote file:
- 2.39 GB
- SHA256:
- 9c5b5d1ebb6216a6ed69ef799927eb8dc237738d6ba1270a4fc87b25f409bfd4
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