Text Generation
PEFT
Safetensors
English
sql
code-generation
text-to-sql
phi-3
lora
qlora
fine-tuned
conversational
Instructions to use Shizu0n/phi3-mini-sql-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shizu0n/phi3-mini-sql-generator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "Shizu0n/phi3-mini-sql-generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22baceabe8753a42ac4f0a7018ed99b821bbee611f3a56a69bbb26d2aec4b09b
- Size of remote file:
- 101 MB
- SHA256:
- 17615ea7693b0d71feedb884ceb91239414fc06bad10284a67da0ed04e3092a2
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