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
Download training_args.bin from byesher/plan-then-code-lora-14b: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/byesher/plan-then-code-lora-14b/resolve/main/training_args.bin
- Command line
-
hf download hf://byesher/plan-then-code-lora-14b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/byesher/plan-then-code-lora-14b/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 70364b1efda8037e45d42d3daaac90800013e77f6db92950e2179879761289dd
- Size of remote file:
- 5.3 kB
- SHA256:
- 154b92508c20851c3d96264f1f8a2a02d2c8675aa3f01144ecacb928f799438d
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