Instructions to use teilomillet/llama-2-7b-LORA-chatSQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use teilomillet/llama-2-7b-LORA-chatSQL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "teilomillet/llama-2-7b-LORA-chatSQL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c3705af3ab07198339731da0b9a735afc048a2b83e877050d0851ac9438008a
- Size of remote file:
- 33.6 MB
- SHA256:
- e30aa308ffbe13b7be13e88679d119340ad4f2e0239e9f8929f68954039b70e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.