Instructions to use isaiahbjork/showui-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isaiahbjork/showui-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2-vl-2b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "isaiahbjork/showui-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from isaiahbjork/showui-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/isaiahbjork/showui-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://isaiahbjork/showui-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/isaiahbjork/showui-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4b00656bad4d9a1a30747ba1c640b2e9c41e8a26349aedc04571c21fce74f8bb
- Size of remote file:
- 11.4 MB
- SHA256:
- 948c45c29a91dd2e6ae77d6f5a324a3d408bcca6ad443365b2e79986f1422771
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