How to use thnhan3/vit5-lora-sft with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("VietAI/vit5-base") model = PeftModel.from_pretrained(base_model, "thnhan3/vit5-lora-sft")
How to use thnhan3/vit5-lora-sft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thnhan3/vit5-lora-sft", device_map="auto")
https://huggingface.co/thnhan3/vit5-lora-sft/resolve/main/tokenizer.json
hf download hf://thnhan3/vit5-lora-sft/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/thnhan3/vit5-lora-sft/resolve/main/tokenizer.json
