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:
- 68e8e5414d7b11ca92c8402d3c4488a37a53b2b7d43069ca1f28a879ecb5d8ca
- Size of remote file:
- 5.5 kB
- SHA256:
- 83c4bb6d53b0258cb1da5a2c125e748bcb55abb58e7b52149f2db6b8ff320f3f
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