Instructions to use autoprogrammer/qwen-3b-safecoder-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use autoprogrammer/qwen-3b-safecoder-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-3B-Instruct") model = PeftModel.from_pretrained(base_model, "autoprogrammer/qwen-3b-safecoder-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1635cf0cdf1ea39f49fbd5fcd91a905645200a44ba1d027c44e01c14648d14f4
- Size of remote file:
- 130 MB
- SHA256:
- b3f52d34ea1ee084a8ca92ef459e83adaf43e9603c86ce187f1da0b501e245c2
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