Instructions to use codelion/scorelora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codelion/scorelora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "codelion/scorelora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from codelion/scorelora: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
-
https://huggingface.co/codelion/scorelora/resolve/main/tokenizer.json
- Command line
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hf download hf://codelion/scorelora/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/codelion/scorelora/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.