Text Generation
PEFT
Safetensors
French
text2sql
text-to-sql
lora
qlora
schema-linking
qwen2.5-coder
french
conversational
Instructions to use axrafTic/text2sqlProspeciton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use axrafTic/text2sqlProspeciton with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "axrafTic/text2sqlProspeciton") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c47b0658b6185b77617a68f9c4e9e51991d7fbb43e6b172097bbf1ff0808a4d
- Size of remote file:
- 11.4 MB
- SHA256:
- a49c1b786ba7cd9c539085ebc8eb83025f6b16a7ce910a34b35957768c4b52a7
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