Instructions to use KaQyn/peft-lora-CodeLlama-13b-flutter-copilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KaQyn/peft-lora-CodeLlama-13b-flutter-copilot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "KaQyn/peft-lora-CodeLlama-13b-flutter-copilot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83dffe89b84583025a89b3dbda47f0c2ef46d78f1de3986389bcfa623724bba4
- Size of remote file:
- 4.98 kB
- SHA256:
- 7d0184f58c835c52343dc7bb46b692b7f9a4df85e0b803cd62eaa9aa47e71855
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