Instructions to use thalysonz/code-llama-3.1-8b-it-code-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalysonz/code-llama-3.1-8b-it-code-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "thalysonz/code-llama-3.1-8b-it-code-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a77a53bdeb8746e3a37bf3c35c781a0aff587579a363d3ea614936de13fb081e
- Size of remote file:
- 5.5 kB
- SHA256:
- 9118c8f1d9c036f71c8a9f09de487e01a24cad4f4311eed1778eb8769c289a4f
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