Instructions to use daochf/Lora-Meta-Llama2-7b-hf-QandA_2g_v01-r2-v03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daochf/Lora-Meta-Llama2-7b-hf-QandA_2g_v01-r2-v03 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "daochf/Lora-Meta-Llama2-7b-hf-QandA_2g_v01-r2-v03") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ed47bfe855265f91ec7b4fdd85b161b4e18f87a9d068adfdd1b89c9d170aa0c
- Size of remote file:
- 134 MB
- SHA256:
- c707bc7c136e4c47de2972fea45b9c12bf2cdca99e69659f85c41a7edb593c03
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