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:
- 81838ac608f3fffa1d9b3b75973712c435550e60eff4cc54d2da2508fcdad048
- Size of remote file:
- 23.2 MB
- SHA256:
- 6e229fa567c67807d0a472642628ec3a6852f3881c7887a0ec550541af3fa30c
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