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/tokenizer.json from Mukesh0606/solidity-codellama-qlora: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/Mukesh0606/solidity-codellama-qlora/resolve/main/checkpoint-2000/tokenizer.json
- Command line
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hf download hf://Mukesh0606/solidity-codellama-qlora/checkpoint-2000/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Mukesh0606/solidity-codellama-qlora/resolve/main/checkpoint-2000/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.