Instructions to use albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-7b-instruct-v1.5") model = PeftModel.from_pretrained(base_model, "albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora") - Notebooks
- Google Colab
- Kaggle
Replace with SQL+Magicoder mixed-training adapter (better SQL generalization + retained code capability, see experiment_log.md)
b738d48 verified - Xet hash:
- 05f611be13540d6ab9ba756229392d8d609c9a8f6e7f4ca771255eafa7fb95b8
- Size of remote file:
- 6.23 kB
- SHA256:
- 877b839418ca0ec86b9b662e6b3ffafcd190c512dcf6b00b0828e8f521193da8
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