Text Generation
PEFT
Safetensors
Turkish
sql
natural-language-to-sql
qlora
lora
rag
turkish
text2sql
conversational
Instructions to use BMinal/sql_coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BMinal/sql_coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "BMinal/sql_coder") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 9e34ce2ca5f305df5e348bfb4e553cd3b31d9a5f15fc7dcf2d63f60658c5d868
- Size of remote file:
- 964 kB
- SHA256:
- a67d17202d862acfbf28e4d58469a3b639c33f6f087afd9f7c7066d540201f80
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