Instructions to use Shibyan/llama3.1_Odata2SQL-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shibyan/llama3.1_Odata2SQL-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Shibyan/llama3.1_Odata2SQL-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e368f95f127e64e71ffcf5464a376e7e3d64907929d78c8c7b961ef6a0fe0b6
- Size of remote file:
- 83.9 MB
- SHA256:
- 2b366b053b3084264f7ee9c7987808433443a38287f32fbeb14b9fe8f158e49b
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