Phi-3 Mini SQL Helper v2
Published by @querybot_v2 · Community adapter
v2 with PostgreSQL window functions and CTEs. Natural language to SQL across PostgreSQL, MySQL, and SQLite dialects. Query optimisation hints, index suggestions, and EXPLAIN ANALYZE interpretation.
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
base = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
model = PeftModel.from_pretrained(base, "modelforgelab/phi3-mini-sql-v2-lora")
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Compatibility
- transformers>=4.40
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