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:
- fc4bdfb8d69f4236140b0d64eba8f52ceb042acb30944b24dc7fca33c44be47d
- Size of remote file:
- 73.3 MB
- SHA256:
- 7d135f8d64764faeb1a8acd9d7349578f85379a1ee14503ce1d004318774ed1f
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