Instructions to use 4daJ/llama2_SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 4daJ/llama2_SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/lizongyue/llm_factory/model/meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "4daJ/llama2_SFT") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from 4daJ/llama2_SFT: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/4daJ/llama2_SFT/resolve/main/tokenizer.json
- Command line
-
hf download hf://4daJ/llama2_SFT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/4daJ/llama2_SFT/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.