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:
- 39000a1d07404e407d4e5e2d21abb217ae179a95072f3c2f3a07c6fad669f13b
- Size of remote file:
- 14.6 kB
- SHA256:
- 8f00bc45fb5a40823fadfd88d18ea56257355a88f99f33638d3437c53eeab6a2
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