Instructions to use ctemplin/Llama-3.2-1B-PythonProgrammer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ctemplin/Llama-3.2-1B-PythonProgrammer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "ctemplin/Llama-3.2-1B-PythonProgrammer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b144659e005c9bc5cfa9971bfe958aa8548964be5094196484aa1fffe18ba567
- Size of remote file:
- 17.2 MB
- SHA256:
- 52716f60c3ad328509fa37cdded9a2f1196ecae463f5480f5d38c66a25e7a7dc
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