Instructions to use clepelaars/task-7-Qwen-Qwen2.5-Coder-14B-Instruct-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use clepelaars/task-7-Qwen-Qwen2.5-Coder-14B-Instruct-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-14B-Instruct") model = PeftModel.from_pretrained(base_model, "clepelaars/task-7-Qwen-Qwen2.5-Coder-14B-Instruct-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a06ffc50a14403c0b1f050af1205d06574c6f1687d67b3000fd699d97739a8
- Size of remote file:
- 5.56 kB
- SHA256:
- 73a6281f77e7466c69e15565de2fb00e45f4a0b1d2309541b3e2a061de798009
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.