PEFT
Safetensors
MiniMax H3
English
lora
prompt-rewriting
text-to-audio-video
audio-video-generation
Instructions to use lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA/resolve/main/requirements.txt
- Command line
-
hf download hf://lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/lightx2v/MiniMax-H3-Prompt-Rewriter-LoRA/resolve/main/requirements.txt
77 Bytes
| torch>=2.6 | |
| transformers>=4.57.1 | |
| accelerate>=1.10 | |
| peft>=0.17 | |
| safetensors>=0.5 | |