Instructions to use DazMashaly/code_llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DazMashaly/code_llama3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "DazMashaly/code_llama3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66cb2c78c9c19a6f85f84d031b67e99129a46885dcc469e641851cb036cb8e38
- Size of remote file:
- 14.2 kB
- SHA256:
- c90f108da1e19a264f7f38c07e80dd7e86701c20a348b29e0b39e00052a1e8ca
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