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:
- edb3d6e7953a6fb3bc78d5469813f9f45a35ad1c926d440a60cb599925cd7bfd
- Size of remote file:
- 1.47 kB
- SHA256:
- 62a0b89a7cbd08d4a40042646f7133a2579279c608f6f0bfc8317e561d73bcb7
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