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:
- e7642a079bc6ee2a2b64f8fc24be1831c91411bbcf53efc10e99ca0fb8d61745
- Size of remote file:
- 146 kB
- SHA256:
- f15d3857aba569ec4b22a5ba18c4d0afb1b20730b58413782dd92965e36bdcdd
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