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:
- 06a9fbd6f5ac1e59889b2212c3b362d4205c37101eb6519e98d5110c73bdc694
- Size of remote file:
- 80.9 MB
- SHA256:
- 6c30b4302d23b8effc7b0ff1110df3ec9eea18da2895640849ec01ba0ef3e74a
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