Instructions to use adastracomputing/nixpkgs-security-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adastracomputing/nixpkgs-security-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "adastracomputing/nixpkgs-security-lora") - Notebooks
- Google Colab
- Kaggle
Remove pickle training-resumption artifacts (optimizer/rng/scheduler/training_args state); keep safetensors weights + inference config only
Browse files
checkpoint-111/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf5c67f049d87c8936c10bbee78f4bcfd05b4eb578d79cc9e7aec14d6c440b9a
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size 170934309
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