Instructions to use jayzeng/llm-fun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jayzeng/llm-fun with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-MoE-A2.7B") model = PeftModel.from_pretrained(base_model, "jayzeng/llm-fun") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-475/tokenizer.json from jayzeng/llm-fun: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/jayzeng/llm-fun/resolve/main/checkpoint-475/tokenizer.json
- Command line
-
hf download hf://jayzeng/llm-fun/checkpoint-475/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jayzeng/llm-fun/resolve/main/checkpoint-475/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.