Instructions to use WGNW/tmp_chat_peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WGNW/tmp_chat_peft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WGNW/Llama-2-ko-7b-Chat-auto-gptq-4bit") model = PeftModel.from_pretrained(base_model, "WGNW/tmp_chat_peft") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from WGNW/tmp_chat_peft: direct link, hf CLI and curl.
- Browser
- Download file 5.21 MB
-
https://huggingface.co/WGNW/tmp_chat_peft/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://WGNW/tmp_chat_peft@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/WGNW/tmp_chat_peft/resolve/refs%2Fpr%2F1/tokenizer.json
5.21 MB
File too large to display, you can check the raw version instead.