Instructions to use DaOppaiLoli/Llama2-TwAddr-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DaOppaiLoli/Llama2-TwAddr-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Models/Llama-2-7B-Chat-fp16") model = PeftModel.from_pretrained(base_model, "DaOppaiLoli/Llama2-TwAddr-LoRA") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
簡易臺灣路名 JSON 格式解析模型,關於詳細的訓練資料來源與訓練方法,請參考以下文章:
Model Details
Model Description
- Developed by: Penut Chen
- Model type: Llama
- Language(s) (NLP): 繁體中文
- License: MIT
- Finetuned from model: TheBloke/Llama-2-7B-Chat-fp16
Usage
Training Details
Training Data
Framework versions
- PEFT 0.8.2
- Downloads last month
- 5
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Base model
TheBloke/Llama-2-7B-Chat-fp16