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Machine Learning with FHE - fork of Zama Concrete-ML - Built-in FHE-friendly ML models - scikit-learn compatible API - PyTorch model conversion - Quantization-aware training
17 lines
294 B
Makefile
17 lines
294 B
Makefile
# Useful for jupyter notebooks
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export LC_ALL=en_US.UTF-8
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export LANG=en_US.UTF-8
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TIME_NB="${USE_CASE_DIR}/time_notebook_execution.sh"
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# one two
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run_example: three
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one:
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@$(TIME_NB) GPT2FineTuneHybrid.ipynb
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two:
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@$(TIME_NB) LLamaFineTuning.ipynb
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three:
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@$(TIME_NB) MathEvalLoraLLama.ipynb
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