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
Download checkpoint-2000/optimizer.pt from Mukesh0606/solidity-codellama-qlora: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/Mukesh0606/solidity-codellama-qlora/resolve/main/checkpoint-2000/optimizer.pt
- Command line
-
hf download hf://Mukesh0606/solidity-codellama-qlora/checkpoint-2000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Mukesh0606/solidity-codellama-qlora/resolve/main/checkpoint-2000/optimizer.pt
148 MB
- Xet hash:
- 04ecf6d4fe7c3903cdb301337e209a3871073e9799d59168e52460c4914c66a6
- Size of remote file:
- 148 MB
- SHA256:
- c18ccaa20ea9e7fc9fffe2ee4a6cf1c2e4a3ed6a4658d9628ae1b78adb810ebd
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