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:
- ce47c77344180390ceaef6d78ef8d1caaae4b29e91340f0142a3353498f7fdc7
- Size of remote file:
- 5.05 kB
- SHA256:
- fcd66124e2029b70af33de5016df9674339797f5535d0eaac37125790d2201f8
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