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:
- ff785adb4b92c82d2c23602c274c0ded94697f875f5faba0f76dbab6d7b80643
- Size of remote file:
- 80.9 MB
- SHA256:
- c627a832804fc99ea4bcfdd6125d829534f402077b7e5f9bcc5d03341e4c6a92
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