Instructions to use byesher/plan-then-code-lora-14b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use byesher/plan-then-code-lora-14b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/Qwen2.5-Coder-14B") model = PeftModel.from_pretrained(base_model, "byesher/plan-then-code-lora-14b") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
87a0704 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:154b92508c20851c3d96264f1f8a2a02d2c8675aa3f01144ecacb928f799438d
size 5304
|