Instructions to use Mukesh0606/solidity-codellama-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mukesh0606/solidity-codellama-qlora 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-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3670a7e43dfa6b3b6112af8ecc6c19040df100f85be2891996f0120487da566
- Size of remote file:
- 148 MB
- SHA256:
- 8d1de13a4567ef564b340d330769183f35b5b0c621d327e3cf6ca8694276cd5c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.