Instructions to use ZhanQU/conversion_synthetic_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZhanQU/conversion_synthetic_code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "ZhanQU/conversion_synthetic_code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2b7df5e004c38c9acfd722ae3fafbbcae63cb48ea4444d0efa66e8705d83c5d
- Size of remote file:
- 5.56 kB
- SHA256:
- 180e6d61747103749334a4d5b0197fc4709db7242486ffc098c54f7405b27b55
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