Instructions to use codeaidbackUp/CouplingSmells-Detection-Adpater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codeaidbackUp/CouplingSmells-Detection-Adpater with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "codeaidbackUp/CouplingSmells-Detection-Adpater") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from codeaidbackUp/CouplingSmells-Detection-Adpater: direct link, hf CLI and curl.
- Browser
- Download file 2.2 GB
-
https://huggingface.co/codeaidbackUp/CouplingSmells-Detection-Adpater/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://codeaidbackUp/CouplingSmells-Detection-Adpater/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/codeaidbackUp/CouplingSmells-Detection-Adpater/resolve/main/last-checkpoint/optimizer.pt
2.2 GB
- Xet hash:
- 2bfb8879dc8890632da28d361d3d2b31d244f240afd06c32ff3f08aa9fdce2b6
- Size of remote file:
- 2.2 GB
- SHA256:
- 5889a24448dd19ffc375612b58492f5cf8ee3acfb26a9faa3ac8183a0dc3a64a
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