Text Generation
PEFT
Safetensors
English
lora
sft
trl
script-generation
minimax-h3
video-generation
conversational
Instructions to use woodfireind/H3-ScriptGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use woodfireind/H3-ScriptGen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "woodfireind/H3-ScriptGen") - Notebooks
- Google Colab
- Kaggle
H3-ScriptGen: MiniMax-H3 FL2VA scriptwriting LoRA (Qwen3.5-0.8B base, continue-trained from final adapter)
7dbeac1 verified - Xet hash:
- 72e73c1c1890a2aac859744dc8a0d301b6b3e6d43fe9e140040368b89bc5238b
- Size of remote file:
- 1.47 kB
- SHA256:
- 03ea2004117e0d96c5f48fd4e4e3c761dffe6f617e85f27097c66b820b6c792e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.