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:
- 617ec02aa8764e6416e3ed814441e79fcc20103337e335e0cba8d4ca01219beb
- Size of remote file:
- 14.6 kB
- SHA256:
- bae24c78ae9a40eb23b6c22cea6c4ef3853554fc3dca4124c70160fb4776e4cd
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