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
Download vocab.json from axrafTic/text2sqlProspeciton: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/axrafTic/text2sqlProspeciton/resolve/main/vocab.json
- Command line
-
hf download hf://axrafTic/text2sqlProspeciton/vocab.json
-
curl -L -o vocab.json https://huggingface.co/axrafTic/text2sqlProspeciton/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.