Instructions to use philschmid/code-llama-3-1-8b-text-to-sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use philschmid/code-llama-3-1-8b-text-to-sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "philschmid/code-llama-3-1-8b-text-to-sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea75f8453a0e34b6f3ab70dcc97efb53ad12a25bf2437b16e664215a40ac885
- Size of remote file:
- 4.79 GB
- SHA256:
- f64798bc49f630b98a251133f011655397bf07ac587b32f52c4d2e06f12cdbb1
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