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
Download checkpoint-336/vocab.json from BMinal/sql_coder: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/BMinal/sql_coder/resolve/main/checkpoint-336/vocab.json
- Command line
-
hf download hf://BMinal/sql_coder/checkpoint-336/vocab.json
-
curl -L -o vocab.json https://huggingface.co/BMinal/sql_coder/resolve/main/checkpoint-336/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.