Text Generation
PEFT
TensorBoard
Safetensors
English
lora
text2sql
sql
qwen3.5
fine-tuning
conversational
Instructions to use Vicen-te/qwen3.5-2b-sql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vicen-te/qwen3.5-2b-sql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B") model = PeftModel.from_pretrained(base_model, "Vicen-te/qwen3.5-2b-sql-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d759ea321dd1bfd80c80d7b6acddd1f25192f4ea5c3d501fe8ad8fabbcbad45
- Size of remote file:
- 5.65 kB
- SHA256:
- 637e20e86b6cbebfc048e960ae1ef3a3bd630c524f323dcad6d0812329f6bb3c
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