Instructions to use amztheory/Llama-2-code-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amztheory/Llama-2-code-python 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, "amztheory/Llama-2-code-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 084c00ba1e63d17bb2e47ef7b5e2486ebea219b7dca6f4ecde0b039e8e20d872
- Size of remote file:
- 67.1 MB
- SHA256:
- 587701cfafaa6aea3fc46112d59256a6dd427aab4ee2767cbb3abb6f27127953
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