Instructions to use bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Korabbit/llama-2-ko-7b") model = PeftModel.from_pretrained(base_model, "bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd: direct link, hf CLI and curl.
- Browser
- Download file 3.31 MB
-
https://huggingface.co/bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/bane5631/194c9c27-ed1a-4418-a8c0-b13eafff85bd/resolve/main/tokenizer_config.json
3.31 MB
File too large to display, you can check the raw version instead.