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:
- 689631be0bac9e322a569d01a36d767ec01c55a329a5404e87e9cb06c7d87c31
- Size of remote file:
- 148 MB
- SHA256:
- d324319e7325dac3b5361ddcea138eab8793af637e197b220d621b48aef37568
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.