Instructions to use YieldInc/pythoncode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YieldInc/pythoncode with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "YieldInc/pythoncode") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ae3c5b0335289bdac83b8b9dbb9a4cb33a19fc68d42dcec190dd7e0075cfb31
- Size of remote file:
- 4.09 kB
- SHA256:
- 2d5fd2c453c1f941b148e3eb0b85118cea79dd57948f6b8ea4c2b161ebe5780c
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