Instructions to use eosphoros/llama2-13b-sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eosphoros/llama2-13b-sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/model_files/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "eosphoros/llama2-13b-sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da13bf3dd80664897dd74ddb6cbb24cc80c8f0a615e605cc6048f847f9bf9094
- Size of remote file:
- 897 MB
- SHA256:
- 65200ffedf2c54ff6f3df2cdb478eeb0f38fdbfa7a346501ec268464c1443a77
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