Instructions to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning/resolve/6c82a5ff9f3d892de66dd6a265bfe72aa59d016d/training_args.bin
- Command line
-
hf download hf://andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning@6c82a5ff9f3d892de66dd6a265bfe72aa59d016d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/andstor/Qwen-Qwen2.5-Coder-7B-unit-test-prompt-tuning/resolve/6c82a5ff9f3d892de66dd6a265bfe72aa59d016d/training_args.bin
5.65 kB
- Xet hash:
- b5887544cdebf87373e8f13f88110f39869a23f6621098c1bfb335e72c767d36
- Size of remote file:
- 5.65 kB
- SHA256:
- 79862b82bb5d9e5592deb3ce8d6944081fcfef62f92074aa48b66416a080992f
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