Instructions to use 3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("3MPER0RR/Phi-4-mini-3MPER0RR-abliterated") model = PeftModel.from_pretrained(base_model, "3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated") - Transformers
How to use 3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from 3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
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https://huggingface.co/3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated/resolve/main/README.md
- Command line
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hf download hf://3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated/README.md
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curl -L -o README.md https://huggingface.co/3MPER0RR/phi-4-mini-LoRA-adapter-3MPER0RR-abliterated/resolve/main/README.md
127 Bytes
metadata
base_model: 3MPER0RR/Phi-4-mini-3MPER0RR-abliterated
library_name: peft
tags:
- lora
- transformers
- peft
license: mit