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:
- f2b3308389526dbd479f1ab0d68f21d57480003a8283ee168a19316748fd4284
- Size of remote file:
- 14.2 kB
- SHA256:
- b588fa5caaecb3f5a0b06b692381eca13712a3c28c6873666f371954c69a20e5
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