Instructions to use funkaya1234/wikisql-qwen2.5-coder-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use funkaya1234/wikisql-qwen2.5-coder-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-3B-Instruct") model = PeftModel.from_pretrained(base_model, "funkaya1234/wikisql-qwen2.5-coder-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2fd6dce7e7730ba9d148700e603f152f4ed5bdd4d662b564a8c89637d3929ff
- Size of remote file:
- 5.37 kB
- SHA256:
- 20d793de5de8b45b89b8dcbb777ef8fd899fec3aa2adc1aaecde59a11b1be831
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.