PEFT
Safetensors
English
lora
adapter
agent-safety
trajectory-monitoring
stepshield
conformal-prediction
Instructions to use DoronP/stepshield-nemotron-mini-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DoronP/stepshield-nemotron-mini-4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nvidia/Nemotron-Mini-4B-Instruct") model = PeftModel.from_pretrained(base_model, "DoronP/stepshield-nemotron-mini-4b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7a3b4a9aebb7a477b6201d84a9e6f294ea20072186a024a46ee1ee7463174f0
- Size of remote file:
- 92.3 MB
- SHA256:
- 4daba38363ba53d30b8cb5aa5494719de338a63684cc3b2011a9e8b2549f8eb6
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