Text Generation
PEFT
Safetensors
lora
safety
jailbreak-defense
representation-engineering
anchor-rep
Instructions to use anonsubmission12345/AnchorRep-Phi-3-medium-4k-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anonsubmission12345/AnchorRep-Phi-3-medium-4k-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-medium-4k-instruct") model = PeftModel.from_pretrained(base_model, "anonsubmission12345/AnchorRep-Phi-3-medium-4k-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 784e81e549aee10f0b103c4cb62ec6425063cc3b0a45df71208cd650edbdebc2
- Size of remote file:
- 446 MB
- SHA256:
- 8abad10b1c7748d8518ece09c72be1b98fd456477b6fd153d26878b5aa9fe988
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