Instructions to use Mukesh0606/solidity-codellama-lora-r64-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mukesh0606/solidity-codellama-lora-r64-final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("AlfredPros/CodeLlama-7b-Instruct-Solidity") model = PeftModel.from_pretrained(base_model, "Mukesh0606/solidity-codellama-lora-r64-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed6c1c864b9789fd5989136c84bfc6251ae83c4ba3e01f905ae60ef4a8b961d2
- Size of remote file:
- 269 MB
- SHA256:
- bca41a70cb24b921c960f8aa8968dad6bb83d17e4d3cd5bb58d8fbda710fb085
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