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:
- 4a76348f12f5ec45c9b07c18ca01ade4e64be10ba620f89c98c64b09e17924b8
- Size of remote file:
- 40.4 MB
- SHA256:
- 54f6c160216702d0b93f0feb11e3c26a3bd626b5babe14430a85b345416dee77
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