Instructions to use 91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B") model = PeftModel.from_pretrained(base_model, "91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from 91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size: direct link, hf CLI and curl.
- Browser
- Download file 8.03 MB
-
https://huggingface.co/91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size/resolve/main/tokenizer.json
- Command line
-
hf download hf://91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/91veMe4Plus-Project/hyperclova-deobfuscation-lora-with-2-batch-size/resolve/main/tokenizer.json
8.03 MB
File too large to display, you can check the raw version instead.