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:
- f66b5f9a8e9768964a6da780221d2551e847edf8c706c9adbdc3125d4d8fe17d
- Size of remote file:
- 5.5 kB
- SHA256:
- 995efc3f8b3d2db1d9fb75eeb43a9d9d711674de4b0e7d6a532481bb2be7e68d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.