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:
- 820c44fb396bdca4686e6f9625c9ce59e83bd6b173ed98ddb77bf412b7f62ba0
- Size of remote file:
- 240 MB
- SHA256:
- 2cead126e0899a24d04249ec488b177987eee31b3173df05f6f413144abffc05
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