Instructions to use xianglingjing/llama-2-7b-int4-text-to-sql-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xianglingjing/llama-2-7b-int4-text-to-sql-LoRA 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, "xianglingjing/llama-2-7b-int4-text-to-sql-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99612c25fe9228381e023eb6d1b966035cd502157f4a54887fffab27636de6f5
- Size of remote file:
- 134 MB
- SHA256:
- a9af35f426721a3b60b094cebc3c0dff0885d0bb84ab60f76f6ca5fc1319db9f
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