Instructions to use 100suping/Qwen2.5-Coder-34B-Instruct-kosql-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 100suping/Qwen2.5-Coder-34B-Instruct-kosql-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-coder-32b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "100suping/Qwen2.5-Coder-34B-Instruct-kosql-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17534e36989f0d35f276ec9eb5fb5abf2cec6f24953ba05785f20f0f43691a44
- Size of remote file:
- 1.06 kB
- SHA256:
- ab8a86ebd08307e2f523a96051f4cd3063632227b8547bb8555e3ebd4d4b3da3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.